magnet:?xt=urn:btih:DC0FA439B5997242DDD6E6BDCE20E1713076B133
10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/100 Statistics - Overview Terms and Vocabulary.mp4 100.4 MB24 Managing Time Series and Financial Data with Pandas/284 Creating a customized DatetimeIndex with pd.date_range().mp4 98.2 MB22 Data Visualization with Pandas Matplotlib and Seaborn/249 Customization of Plots.mp4 88.2 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/094 Mortgage Loan Analysis - Interest Payments and Amortization Schedule.mp4 85.3 MB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/068 Customizing Plots (Part 2).mp4 84.3 MB20 Pandas Basics - Starting from Zero/210 Slicing Rows and Columns with loc (label-based indexing).mp4 84.2 MB31 Issues in Linear Regression Analysis and Logistic Regression/378 Detecting and Handling Serial Correlation (Autocorrelation).mp4 83.2 MB24 Managing Time Series and Financial Data with Pandas/303 Importing Financial Data from Excel.mp4 81.6 MB25 Creating analyzing and optimizing Financial Portfolios with Python/316 Coding Exercise 13 (Solution).mp4 81.5 MB23 Pandas Advanced/267 Adding new Rows to a DataFrame.mp4 79.9 MB08 The Numpy Package Working with numbers made easy/083 Coding Exercise 7.mp4 76.7 MB21 Pandas Intermediate/246 Coding Exercise 6 (Solution).mp4 76.4 MB25 Creating analyzing and optimizing Financial Portfolios with Python/310 Creating many random Portfolios with Python.mp4 76.0 MB24 Managing Time Series and Financial Data with Pandas/288 Downsampling Time Series with resample() (Part 1).mp4 75.7 MB01 Getting Started/003 How to download and install Anaconda for Python coding.mp4 74.4 MB25 Creating analyzing and optimizing Financial Portfolios with Python/319 The Portfolio Diversification Effect.mp4 74.4 MB22 Data Visualization with Pandas Matplotlib and Seaborn/254 Categorical Seaborn Plots.mp4 74.2 MB17 How to create your own user-defined Functions/179 Putting it all together - Case Study.mp4 72.6 MB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/197 Download of Part 4 Course Materials.mp4 71.7 MB31 Issues in Linear Regression Analysis and Logistic Regression/373 Detecting and Handling Outliers (Part 1).mp4 71.3 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/192 Dynamic path-dependent Simulations (Part 2).mp4 70.7 MB22 Data Visualization with Pandas Matplotlib and Seaborn/255 Seaborn Regression Plots.mp4 69.7 MB23 Pandas Advanced/277 stack() and unstack().mp4 69.3 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/194 Dynamic path-dependent Simulations (Part 4).mp4 68.7 MB30 Case Study Multi-Factor Models (Fama-French)/365 Single-Factor Models with the Fama-French Market Portfolio (Part 1).mp4 66.7 MB21 Pandas Intermediate/226 Changing Row Index with set_index() and reset_index().mp4 66.1 MB21 Pandas Intermediate/239 Coding Exercise 5 (Solution).mp4 66.0 MB31 Issues in Linear Regression Analysis and Logistic Regression/377 Detecting and Correcting Heteroskedasticity.mp4 64.3 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/060 Solving for a Project s IRR.mp4 63.7 MB21 Pandas Intermediate/217 Analyzing Numerical Series with unique() nunique() and value_counts().mp4 63.6 MB25 Creating analyzing and optimizing Financial Portfolios with Python/320 Systematic vs. unsystematic Risk.mp4 62.4 MB12 Common Probability Distributions and how to construct Confidence Intervals/128 Probabilities and Z-Values with scipy.stats.mp4 62.2 MB25 Creating analyzing and optimizing Financial Portfolios with Python/326 Coding Exercise 14 (Solution).mp4 62.1 MB22 Data Visualization with Pandas Matplotlib and Seaborn/248 Visualization with Matplotlib (Intro).mp4 62.0 MB23 Pandas Advanced/275 split-apply-combine applied.mp4 62.0 MB24 Managing Time Series and Financial Data with Pandas/295 Importing Stock Price Data from Yahoo Finance (it still works).mp4 61.3 MB21 Pandas Intermediate/219 EXCURSUS Updating Pandas Anaconda.mp4 61.2 MB21 Pandas Intermediate/241 Handling NA Values missing Values.mp4 59.0 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/063 Coding Exercise 5.mp4 58.5 MB30 Case Study Multi-Factor Models (Fama-French)/368 How to create a Fama-French Three-Factor Model.mp4 58.1 MB21 Pandas Intermediate/236 Advanced Filtering with between() isin() and ~.mp4 57.1 MB29 Multiple Regression Models/361 Creating and working with Dummy Variables (Part 1).mp4 57.0 MB20 Pandas Basics - Starting from Zero/212 Summary and Outlook.mp4 56.9 MB22 Data Visualization with Pandas Matplotlib and Seaborn/258 Coding Exercise 7 (Solution).mp4 56.7 MB05 100 Python Objects Data Types Operators Functional Programming/046 Coding Exercise 3.mp4 56.4 MB20 Pandas Basics - Starting from Zero/199 First Steps (Inspection of Data Part 1).mp4 56.4 MB29 Multiple Regression Models/359 Regression Coefficients Hypothesis Testing Model Specification.mp4 56.2 MB28 OLS Regression ANOVA and Hypothesis Testing/349 Confidence Intervals for Regression Coefficients - Bootstrapping.mp4 56.1 MB01 Getting Started/005 How to work with Jupyter Notebooks.mp4 56.1 MB23 Pandas Advanced/263 Arithmetic Operations (Part 1).mp4 55.3 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/146 Two-tailed Z-Test with known Population Variance.mp4 55.3 MB30 Case Study Multi-Factor Models (Fama-French)/364 Fama-French An Introduction.mp4 55.1 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/187 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 3).mp4 53.5 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/145 Hypothesis Testing (Theory).mp4 53.4 MB01 Getting Started/004 Jupyter Notebooks - let s get started.mp4 53.4 MB26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/327 Introduction to Regression Analysis.mp4 53.1 MB29 Multiple Regression Models/356 Movies Dataset - Preparing the Data.mp4 52.0 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/153 Testing for Normality of Financial Returns with scipy.stats.mp4 51.9 MB30 Case Study Multi-Factor Models (Fama-French)/367 The Factors Size Value.mp4 51.5 MB24 Managing Time Series and Financial Data with Pandas/281 Converting strings to datetime objects with pd.to_datetime().mp4 51.2 MB28 OLS Regression ANOVA and Hypothesis Testing/344 OLS Regression with statsmodels - Intro.mp4 51.2 MB23 Pandas Advanced/264 Arithmetic Operations (Part 2).mp4 51.1 MB31 Issues in Linear Regression Analysis and Logistic Regression/376 Detecting and Handling Multicollinearity.mp4 50.9 MB12 Common Probability Distributions and how to construct Confidence Intervals/129 Confidence Intervals with scipy.stats.mp4 50.5 MB23 Pandas Advanced/270 Coding Exercise 8 (Solution).mp4 50.2 MB24 Managing Time Series and Financial Data with Pandas/306 Coding Exercise 12 (Solution).mp4 50.1 MB27 Correlation and Regression/330 Cleaning and preparing the Data - Movies Database (Part 1).mp4 49.3 MB21 Pandas Intermediate/243 Summary Statistics and Accumulations.mp4 49.2 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/019 Coding Exercise 1.mp4 49.1 MB30 Case Study Multi-Factor Models (Fama-French)/370 How to create a Fama-French Five-Factor Model.mp4 48.8 MB20 Pandas Basics - Starting from Zero/206 Selecting Rows with iloc (position-based indexing).mp4 48.1 MB25 Creating analyzing and optimizing Financial Portfolios with Python/309 Creating the equally-weighted Portfolio.mp4 48.0 MB24 Managing Time Series and Financial Data with Pandas/301 Financial Time Series - Return and Risk.mp4 47.1 MB25 Creating analyzing and optimizing Financial Portfolios with Python/312 Portfolio Analysis and the Sharpe Ratio with Python.mp4 47.0 MB21 Pandas Intermediate/233 Filtering DataFrames (one Condition).mp4 47.0 MB21 Pandas Intermediate/231 Sorting DataFrames with sort_index() and sort_values().mp4 46.4 MB29 Multiple Regression Models/362 Creating and working with Dummy Variables (Part 2).mp4 46.1 MB11 How to perform Descriptive Statistics on Populations and Samples/103 Population vs. Sample.mp4 46.0 MB20 Pandas Basics - Starting from Zero/201 Built-in Functions Attributes and Methods.mp4 46.0 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/186 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 2).mp4 45.6 MB23 Pandas Advanced/265 Creating DataFrames from Scratch with pd.DataFrame().mp4 45.5 MB20 Pandas Basics - Starting from Zero/214 Coding Exercise 2 (Solution).mp4 45.1 MB20 Pandas Basics - Starting from Zero/200 First Steps (Inspection of Data Part 2).mp4 44.9 MB05 100 Python Objects Data Types Operators Functional Programming/054 Coding Exercise 4.mp4 44.4 MB23 Pandas Advanced/273 Splitting with many Keys.mp4 44.3 MB24 Managing Time Series and Financial Data with Pandas/291 Advanced Indexing with reindex().mp4 44.2 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/188 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 1).mp4 44.0 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/191 Dynamic path-dependent Simulations (Part 1).mp4 43.6 MB24 Managing Time Series and Financial Data with Pandas/289 Downsampling Time Series with resample (Part 2).mp4 43.5 MB23 Pandas Advanced/261 Removing Rows.mp4 43.4 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/097 Capital Budgeting - Mutually exclusive Projects (Part 2).mp4 43.0 MB05 100 Python Objects Data Types Operators Functional Programming/049 Intro to Strings.mp4 42.8 MB31 Issues in Linear Regression Analysis and Logistic Regression/381 Logistic Regression with statsmodels (Part 2).mp4 42.7 MB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/069 Plotting NPV IRR.mp4 42.7 MB24 Managing Time Series and Financial Data with Pandas/283 Indexing and Slicing Time Series.mp4 42.6 MB23 Pandas Advanced/274 split-apply-combine.mp4 42.0 MB27 Correlation and Regression/338 A simple Linear Regression Model with numpy Scipy.mp4 41.6 MB23 Pandas Advanced/272 Understanding the GroupBy Object.mp4 41.3 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/056 Keywords pass continue and break.mp4 41.3 MB25 Creating analyzing and optimizing Financial Portfolios with Python/321 Capital Asset Pricing Model (CAPM) Security Market Line (SLM).mp4 41.1 MB30 Case Study Multi-Factor Models (Fama-French)/366 Single-Factor Models with the Fama-French Market Portfolio (Part 2).mp4 41.0 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/093 Mortgage Loan Analysis - Debt Sizing.mp4 41.0 MB25 Creating analyzing and optimizing Financial Portfolios with Python/313 Finding the Optimal Portfolio.mp4 41.0 MB27 Correlation and Regression/335 Creating a Confidence Interval for the Correlation Coefficient (Bootstrapping).mp4 40.8 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/150 Two-tailed t-Test (unknown Population Variance).mp4 40.7 MB12 Common Probability Distributions and how to construct Confidence Intervals/126 The Standard Normal Distribution and Z-Values.mp4 40.5 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/055 Conditional Statements.mp4 40.5 MB05 100 Python Objects Data Types Operators Functional Programming/043 Adding and removing Elements fromto Lists.mp4 40.4 MB24 Managing Time Series and Financial Data with Pandas/287 Coding Exercise 10 (Solution).mp4 40.3 MB24 Managing Time Series and Financial Data with Pandas/293 Coding Exercise 11 (Solution).mp4 40.1 MB21 Pandas Intermediate/240 Intro to NA Values missing Values.mp4 40.0 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/029 Coding Exercise 2.mp4 39.8 MB08 The Numpy Package Working with numbers made easy/082 Creating Numpy Arrays from Scratch.mp4 39.7 MB23 Pandas Advanced/279 Coding Exercise 9 (Solution).mp4 39.6 MB01 Getting Started/001 Tips How to get the most out of this Course (don t skip).mp4 39.4 MB24 Managing Time Series and Financial Data with Pandas/297 Normalizing Time Series to a Base Value (100).mp4 39.2 MB21 Pandas Intermediate/225 First Steps with Pandas Index Objects.mp4 39.0 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/061 Bonds and the Yield to Maturity - YTM (Theory).mp4 38.8 MB25 Creating analyzing and optimizing Financial Portfolios with Python/323 Redefining the Market Portfolio.mp4 38.5 MB11 How to perform Descriptive Statistics on Populations and Samples/105 Relative and Cumulative Frequencies with plt.hist().mp4 38.2 MB28 OLS Regression ANOVA and Hypothesis Testing/345 OLS Regression - ANOVA (Theory).mp4 38.1 MB17 How to create your own user-defined Functions/171 What s the difference between Positional Arguments vs. Keyword Arguments.mp4 38.1 MB24 Managing Time Series and Financial Data with Pandas/296 Initial Inspection and Visualization.mp4 38.1 MB21 Pandas Intermediate/220 Analyzing non-numerical Series with unique() nunique() value_counts().mp4 37.9 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/189 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 2).mp4 37.9 MB08 The Numpy Package Working with numbers made easy/072 Numpy Arrays.mp4 37.5 MB22 Data Visualization with Pandas Matplotlib and Seaborn/256 Seaborn Heatmaps.mp4 37.4 MB12 Common Probability Distributions and how to construct Confidence Intervals/119 Probability Distributions - Overview.mp4 37.4 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/058 While Loops.mp4 37.4 MB05 100 Python Objects Data Types Operators Functional Programming/053 Comparison Logical and Membership Operators in Action.mp4 37.2 MB17 How to create your own user-defined Functions/177 Scope - easily explained.mp4 37.0 MB24 Managing Time Series and Financial Data with Pandas/300 Measuring Stock Performance with MEAN Returns and STD of Returns.mp4 36.6 MB20 Pandas Basics - Starting from Zero/203 Explore your own Dataset Coding Exercise 1 (Solution).mp4 36.4 MB05 100 Python Objects Data Types Operators Functional Programming/044 Mutable vs. immutable Objects (Part 1).mp4 36.2 MB24 Managing Time Series and Financial Data with Pandas/280 Importing Time Series Data from csv-files.mp4 36.1 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/131 Sample Statistic Sampling Error and Sampling Distribution (Theory).mp4 35.6 MB25 Creating analyzing and optimizing Financial Portfolios with Python/322 Beta and Alpha.mp4 35.2 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/026 Calculate FV and PV for many Cashflows.mp4 35.2 MB24 Managing Time Series and Financial Data with Pandas/290 The PeriodIndex object.mp4 35.1 MB21 Pandas Intermediate/222 Sorting of Series and Introduction to the inplace - parameter.mp4 35.0 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/027 The Net Present Value - NPV (Theory).mp4 34.9 MB20 Pandas Basics - Starting from Zero/204 Selecting Columns.mp4 34.6 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/085 Evaluating Annuities with np.fv() - Funding Phase.mp4 34.4 MB24 Managing Time Series and Financial Data with Pandas/299 The methods diff() and pct_change().mp4 34.3 MB25 Creating analyzing and optimizing Financial Portfolios with Python/324 Cyclical vs. non-cyclical Stocks - another Intuition on Beta.mp4 34.3 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/152 Hypothesis Testing with Bootstrapping.mp4 34.0 MB08 The Numpy Package Working with numbers made easy/071 Modules Packages and Libraries - No need to reinvent the Wheel.mp4 33.6 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/091 How to evaluate a Retirement Plan A-Z.mp4 33.5 MB29 Multiple Regression Models/357 Multiple Regression Analysis with statsmodels.mp4 32.8 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/149 One-tailed Z-Test with known Population Variance.mp4 32.7 MB31 Issues in Linear Regression Analysis and Logistic Regression/380 Logistic Regression with statsmodels (Part 1).mp4 32.7 MB27 Correlation and Regression/331 Cleaning and preparing the Data - Movies Database (Part 2).mp4 32.6 MB21 Pandas Intermediate/224 Coding Exercise 3 (Solution).mp4 32.6 MB05 100 Python Objects Data Types Operators Functional Programming/048 Dictionaries.mp4 32.5 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/092 Retirement Plan Sensitivity Analysis.mp4 32.2 MB21 Pandas Intermediate/216 First Steps with Pandas Series.mp4 31.9 MB02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----/006 Overview Download of Course Materials for Part 1.mp4 31.8 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/136 Central Limit Theorem (Coding Part 2).mp4 31.8 MB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/102 Download of Part 2 Course Materials.mp4 31.7 MB17 How to create your own user-defined Functions/178 How to create Nested Functions.mp4 31.6 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/024 For Loops - Iterating over Lists.mp4 31.4 MB05 100 Python Objects Data Types Operators Functional Programming/047 Tuples.mp4 31.2 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/142 Student s t-Distribution vs. Normal Distribution with scipy.stats.mp4 31.1 MB23 Pandas Advanced/260 Removing Columns.mp4 31.1 MB24 Managing Time Series and Financial Data with Pandas/298 The shift() method.mp4 30.9 MB22 Data Visualization with Pandas Matplotlib and Seaborn/252 Scatterplots.mp4 30.9 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/185 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 1).mp4 30.9 MB28 OLS Regression ANOVA and Hypothesis Testing/353 Case Study (Part 3) The Market Model (Single Factor Model).mp4 30.3 MB24 Managing Time Series and Financial Data with Pandas/282 Initial Analysis Visualization of Time Series.mp4 30.3 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/159 How to slice 2-dim Numpy Arrays (Part 1).mp4 30.3 MB22 Data Visualization with Pandas Matplotlib and Seaborn/251 Histogramms (Part 2).mp4 30.3 MB17 How to create your own user-defined Functions/172 How to work with Default Arguments.mp4 29.9 MB08 The Numpy Package Working with numbers made easy/080 Advanced Filtering Bitwise Operators.mp4 29.7 MB12 Common Probability Distributions and how to construct Confidence Intervals/120 Discrete Uniform Distributions.mp4 29.6 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/143 Bootstrapping with Python an alternative method without Statistics.mp4 29.4 MB21 Pandas Intermediate/228 Renaming Index Column Labels with rename().mp4 29.4 MB11 How to perform Descriptive Statistics on Populations and Samples/110 Variability around the Central Tendency Dispersion (Theory).mp4 29.0 MB27 Correlation and Regression/332 Covariance and Correlation Coefficient (Theory).mp4 28.9 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/165 Arithmetic Vectorized Operations with 2-dim Numpy Arrays.mp4 28.8 MB11 How to perform Descriptive Statistics on Populations and Samples/115 How to calculate Skew and Kurtosis with scipy.stats.mp4 28.8 MB17 How to create your own user-defined Functions/170 Defining your first user-defined Function.mp4 28.7 MB23 Pandas Advanced/276 Hierarchical Indexing with Groupby.mp4 28.3 MB12 Common Probability Distributions and how to construct Confidence Intervals/124 Normal Distribution - Probability Density Function (pdf) with scipy.stats.mp4 28.2 MB17 How to create your own user-defined Functions/173 The Default Argument None.mp4 28.1 MB21 Pandas Intermediate/232 nunique() and nlargest() nsmallest() with DataFrames.mp4 28.0 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/140 Unknown Population Variance - the Standard Case (Example 1).mp4 27.6 MB27 Correlation and Regression/340 Case Study (Part 1) The Market Model (Single Factor Model).mp4 27.6 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/135 Central Limit Theorem (Coding Part 1).mp4 27.6 MB17 How to create your own user-defined Functions/175 Sequences as arguments and args.mp4 27.5 MB29 Multiple Regression Models/355 Multiple Regression (Theory).mp4 27.2 MB23 Pandas Advanced/268 Manipulating Elements in a DataFrame.mp4 27.2 MB24 Managing Time Series and Financial Data with Pandas/304 Merging Aligning Financial Time Series (hands-on).mp4 27.2 MB21 Pandas Intermediate/235 Filtering DataFrames by many Conditions (OR).mp4 27.1 MB
26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/329 Course-Materials-Part5.zip 26.9 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/182 Analyzing the Data past Performance.mp4 26.7 MB05 100 Python Objects Data Types Operators Functional Programming/033 Build-in Functions.mp4 26.6 MB20 Pandas Basics - Starting from Zero/209 Selecting Rows with loc (label-based indexing).mp4 26.5 MB12 Common Probability Distributions and how to construct Confidence Intervals/117 How to generate Random Numbers with Numpy.mp4 26.4 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/163 Reshaping and Transposing 2-dim Numpy Arrays.mp4 25.9 MB05 100 Python Objects Data Types Operators Functional Programming/037 More on Lists.mp4 25.8 MB08 The Numpy Package Working with numbers made easy/075 Changing Elements in Numpy Arrays Mutability.mp4 25.7 MB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/067 Customizing Plots (Part 1).mp4 25.6 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/086 Evaluating Annuities with np.fv() - Payout Phase.mp4 25.6 MB05 100 Python Objects Data Types Operators Functional Programming/030 Data Types in Action.mp4 25.5 MB05 100 Python Objects Data Types Operators Functional Programming/035 Floats.mp4 25.5 MB31 Issues in Linear Regression Analysis and Logistic Regression/372 Linear Regression - not that easy.mp4 25.4 MB12 Common Probability Distributions and how to construct Confidence Intervals/123 Creating a normally distributed Random Variable.mp4 25.3 MB27 Correlation and Regression/333 How to calculate Covariance and Correlation in Python.mp4 25.2 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/059 The Internal Rate of Return - IRR (Theory).mp4 25.1 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/183 How to use the Parametric Method to calculate Value-at-Risk (VaR).mp4 25.0 MB21 Pandas Intermediate/230 Coding Exercise 4 (Solution).mp4 24.6 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/138 Point Estimates vs. Confidence Interval Estimates (known Population Variance).mp4 24.6 MB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/065 Line Plots.mp4 24.5 MB25 Creating analyzing and optimizing Financial Portfolios with Python/314 Sharpe Ratio - visualized and explained.mp4 24.4 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/096 Capital Budgeting - Mutually exclusive Projects (Part 1).mp4 24.2 MB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/198 Tabular Data and Pandas DataFrames.mp4 24.1 MB11 How to perform Descriptive Statistics on Populations and Samples/104 Visualizing Frequency Distributions with plt.hist().mp4 23.7 MB31 Issues in Linear Regression Analysis and Logistic Regression/375 Non-Linear Relationships - Feature Transformation.mp4 23.7 MB08 The Numpy Package Working with numbers made easy/081 Determining a Project s Payback Period with np.where().mp4 23.6 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/162 How to perform row-wise and column-wise Operations.mp4 23.6 MB11 How to perform Descriptive Statistics on Populations and Samples/107 Coding Measures of Central Tendency - Mean and Median.mp4 23.4 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/084 Evaluating Investments with np.npv() and np.irr().mp4 23.3 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/016 More on Variables and Memory.mp4 23.3 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/148 Calculating and interpreting z-statistic and p-value with scipy.stats.mp4 23.3 MB28 OLS Regression ANOVA and Hypothesis Testing/348 OLS Regression with statsmodels and DataFrames.mp4 23.1 MB08 The Numpy Package Working with numbers made easy/077 Numpy Array Methods and Attributes.mp4 23.0 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/057 Calculate a Project s Payback Period.mp4 22.9 MB05 100 Python Objects Data Types Operators Functional Programming/045 Mutable vs. immutable Objects (Part 2).mp4 22.9 MB30 Case Study Multi-Factor Models (Fama-French)/369 The Factors Profitability and Investment.mp4 22.9 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/090 Frequency of compounding and the effective annual interest rate.mp4 22.9 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/133 Sampling Distribution.mp4 22.6 MB31 Issues in Linear Regression Analysis and Logistic Regression/374 Detecting and Handling Outliers (Part 2).mp4 22.6 MB21 Pandas Intermediate/234 Filtering DataFrames by many Conditions (AND).mp4 22.3 MB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/101 Coding Projects Part 2 - Overview.mp4 22.1 MB24 Managing Time Series and Financial Data with Pandas/302 Financial Time Series - Covariance and Correlation.mp4 22.1 MB28 OLS Regression ANOVA and Hypothesis Testing/352 Regression Analysis with statsmodels - the Summary Table.mp4 22.0 MB05 100 Python Objects Data Types Operators Functional Programming/036 How to round Floats (and Integers) with round().mp4 21.9 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/166 The keepdims parameter.mp4 21.8 MB21 Pandas Intermediate/221 The copy() method.mp4 21.8 MB11 How to perform Descriptive Statistics on Populations and Samples/106 Measures of Central Tendency (Theory).mp4 21.7 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/132 Sampling with np.random.choice().mp4 21.6 MB20 Pandas Basics - Starting from Zero/207 Slicing Rows and Columns with iloc (position-based indexing).mp4 21.6 MB22 Data Visualization with Pandas Matplotlib and Seaborn/250 Histogramms (Part 1).mp4 21.5 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/181 What is the Value-at-Risk (VaR) (Theory).mp4 21.4 MB29 Multiple Regression Models/360 How to test the Significance of the Model as a whole (F-Test).mp4 21.3 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/139 The Student s t-distribution What is it and whywhen do we use it.mp4 21.1 MB05 100 Python Objects Data Types Operators Functional Programming/039 Slicing Lists.mp4 21.1 MB12 Common Probability Distributions and how to construct Confidence Intervals/121 Continuous Uniform Distributions.mp4 21.1 MB27 Correlation and Regression/334 Correlation and Scatterplots visual Interpretation.mp4 21.0 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/190 Conditional Value-at-Risk (CVaR).mp4 20.4 MB08 The Numpy Package Working with numbers made easy/076 View vs. copy - potential Pitfalls when slicing Numpy Arrays.mp4 20.2 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/012 Calculate Interest Rates and Returns with Python.mp4 20.2 MB15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---/156 Coding Projects Part 3 - Overview.mp4 19.8 MB21 Pandas Intermediate/244 The agg() method.mp4 19.8 MB20 Pandas Basics - Starting from Zero/205 Selecting Rows with Square Brackets (not advisable).mp4 19.7 MB08 The Numpy Package Working with numbers made easy/074 Vectorized Operations with Numpy Arrays.mp4 19.6 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/168 Merging and Concatenating Numpy Arrays.mp4 19.6 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/098 Capital Budgeting - Mutually exclusive Projects (Part 3).mp4 19.6 MB17 How to create your own user-defined Functions/174 How to unpack Iterables.mp4 19.5 MB12 Common Probability Distributions and how to construct Confidence Intervals/122 The Normal Distribution (Theory).mp4 19.3 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/157 How to work with nested Lists.mp4 19.1 MB22 Data Visualization with Pandas Matplotlib and Seaborn/253 First Steps with Seaborn.mp4 19.1 MB08 The Numpy Package Working with numbers made easy/079 Boolean Arrays and Conditional Filtering.mp4 19.0 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/013 Introduction to Variables.mp4 19.0 MB11 How to perform Descriptive Statistics on Populations and Samples/114 Skew and Kurtosis (Theory).mp4 18.9 MB21 Pandas Intermediate/227 Changing Column Labels.mp4 18.8 MB28 OLS Regression ANOVA and Hypothesis Testing/346 OLS Regression with Statsmodels - ANOVA.mp4 18.7 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/141 Unknown Population Variance - the Standard Case (Example 2).mp4 18.7 MB28 OLS Regression ANOVA and Hypothesis Testing/351 Hypothesis Testing of Regression Coefficients with statsmodels.mp4 18.6 MB08 The Numpy Package Working with numbers made easy/078 Numpy Universal Functions.mp4 18.6 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/193 Dynamic path-dependent Simulations (Part 3).mp4 18.6 MB05 100 Python Objects Data Types Operators Functional Programming/038 Lists and Element-wise Operations.mp4 18.4 MB11 How to perform Descriptive Statistics on Populations and Samples/112 Percentiles with PythonNumpy.mp4 18.4 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/018 The print() Function.mp4 18.3 MB05 100 Python Objects Data Types Operators Functional Programming/050 String Replacement.mp4 18.1 MB12 Common Probability Distributions and how to construct Confidence Intervals/118 Reproducibility with np.random.seed().mp4 18.1 MB25 Creating analyzing and optimizing Financial Portfolios with Python/307 Intro.mp4 18.1 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/025 The range Object - another Iterable.mp4 17.9 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/017 Variables - Dos Don ts and Conventions.mp4 17.9 MB23 Pandas Advanced/266 Adding new Rows (Hands-on).mp4 17.8 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/137 Central Limit Theorem (Theory).mp4 17.8 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/164 Creating 2-dim Numpy Arrays from Scratch.mp4 17.7 MB25 Creating analyzing and optimizing Financial Portfolios with Python/311 What is the Sharpe Ratio and a Risk Free Asset.mp4 17.7 MB27 Correlation and Regression/336 Testing for Correlation (t-Test).mp4 17.4 MB11 How to perform Descriptive Statistics on Populations and Samples/108 Coding Measures of Central Tendency - Geometric Mean.mp4 17.4 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/161 Recap Changing Elements in a Numpy Array slice.mp4 17.3 MB26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/328 Coding Projects Part 5 - Overview.mp4 17.3 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/167 Adding Removing Elements.mp4 17.3 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/008 Intro to the Time Value of Money (TVM) Concept (Theory).mp4 17.3 MB11 How to perform Descriptive Statistics on Populations and Samples/113 Variance and Standard Deviation with PythonNumpy.mp4 17.1 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/158 2-dimensional Numpy Arrays.mp4 16.9 MB25 Creating analyzing and optimizing Financial Portfolios with Python/318 Capital Market Line (CML) Two-Fund-Theorem.mp4 16.6 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/087 How to solve for annuity payments with np.pmt().mp4 16.5 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/151 One-tailed t-Test (unknown Population Variance).mp4 16.3 MB28 OLS Regression ANOVA and Hypothesis Testing/350 Hypothesis Testing of Regression Coefficients (Theory).mp4 16.3 MB12 Common Probability Distributions and how to construct Confidence Intervals/125 Normal Distribution - Cumulative Distribution Function (cdf) with scipy.stats.mp4 16.1 MB02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----/007 Coding Projects Part 1 - Overview.mp4 16.1 MB24 Managing Time Series and Financial Data with Pandas/294 Getting Ready (Installing required library).mp4 16.1 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/089 How to calculate the required Contract Value with np.pv().mp4 16.0 MB31 Issues in Linear Regression Analysis and Logistic Regression/379 Logistic Regression (Theory).mp4 15.8 MB23 Pandas Advanced/262 Adding new Columns to a DataFrame.mp4 15.8 MB29 Multiple Regression Models/358 Coefficient of Determination (Adjusted R squared).mp4 15.8 MB12 Common Probability Distributions and how to construct Confidence Intervals/127 Properties of the Standard Normal Distribution (Theory).mp4 15.6 MB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/064 Intro.mp4 15.2 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/028 Calculate an Investment Project s NPV.mp4 15.0 MB21 Pandas Intermediate/237 any() and all().mp4 14.9 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/011 Interest Rates and Returns (Theory).mp4 14.9 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/023 Indexing Lists.mp4 14.5 MB08 The Numpy Package Working with numbers made easy/073 Indexing and Slicing Numpy Arrays.mp4 14.3 MB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/184 How to use the Historical Method to calculate Value-at-Risk (VaR).mp4 14.3 MB17 How to create your own user-defined Functions/176 How to return many results.mp4 14.1 MB05 100 Python Objects Data Types Operators Functional Programming/042 Sorting and Reversing Lists.mp4 13.8 MB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/147 What is the p-value (Theory).mp4 13.7 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/009 Calculate Future Values (FV) with Python Compounding.mp4 13.4 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/088 How to solve for the number of periodic payments with np.nper().mp4 13.3 MB06 How to solve for IRR YTM with While Loops and Conditional Statements/062 Solving for a Bond s Yield to Maturity (YTM).mp4 13.1 MB11 How to perform Descriptive Statistics on Populations and Samples/109 Excursus Why Log Returns are useful.mp4 13.0 MB27 Correlation and Regression/339 How to interpret Intercept and Slope Coefficient.mp4 12.9 MB11 How to perform Descriptive Statistics on Populations and Samples/111 Minimum Maximum and Range with PythonNumpy.mp4 12.9 MB25 Creating analyzing and optimizing Financial Portfolios with Python/308 Getting the Data.mp4 12.8 MB05 100 Python Objects Data Types Operators Functional Programming/052 Operators (Theory).mp4 12.3 MB27 Correlation and Regression/337 What is Linear Regression (Theory).mp4 12.2 MB15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---/155 Overview Download of Course Materials for Part 3.mp4 11.8 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/015 Excursus How to add inline comments.mp4 11.8 MB05 100 Python Objects Data Types Operators Functional Programming/034 Integers.mp4 11.5 MB05 100 Python Objects Data Types Operators Functional Programming/031 The Data Type Hierarchy (Theory).mp4 11.3 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/134 Standard Error.mp4 11.2 MB21 Pandas Intermediate/242 Exporting DataFrames to csv.mp4 11.1 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/020 TVM Problems with many Cashflows.mp4 11.0 MB27 Correlation and Regression/341 Case Study (Part 2) The Market Model (Single Factor Model).mp4 10.8 MB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/095 Calculate PV of equal installments with np.pv() - Valuation of Bonds.mp4 10.6 MB05 100 Python Objects Data Types Operators Functional Programming/041 Changing Elements in Lists.mp4 10.6 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/010 Calculate Present Values (FV) with Python Discounting.mp4 10.5 MB24 Managing Time Series and Financial Data with Pandas/285 More on pd.date_range().mp4 10.2 MB05 100 Python Objects Data Types Operators Functional Programming/051 Booleans.mp4 9.3 MB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/160 How to slice 2-dim Numpy Arrays (Part 2).mp4 9.2 MB23 Pandas Advanced/271 Introduction to GroupBy Operations.mp4 8.5 MB25 Creating analyzing and optimizing Financial Portfolios with Python/317 Intro CAPM.mp4 8.4 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/021 Intro to Python Lists.mp4 8.1 MB04 How to use Lists and For Loops for TVM Problems with many Cashflows/022 Zero-based Indexing and negative Indexing in Python (Theory).mp4 7.8 MB28 OLS Regression ANOVA and Hypothesis Testing/343 OLS (Ordinary Least Squares) Regression (Theory).mp4 7.6 MB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/066 Scatter Plots.mp4 7.6 MB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/196 Introduction.mp4 7.5 MB28 OLS Regression ANOVA and Hypothesis Testing/347 Coefficient of Determination (R squared).mp4 7.2 MB03 How to use Python as a Calculator for basic Time Value of Money Problems/014 Variables and Memory (Theory).mp4 5.7 MB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/197 Course-Materials-Part4.zip 5.5 MB05 100 Python Objects Data Types Operators Functional Programming/032 Excursus Dynamic Typing in Python.mp4 5.4 MB
10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/100 Overview.pdf 1.0 MB13 How to estimate Population parameters with Samples - Sampling and Estimation/131 Sampling.pdf 792.4 kB26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/328 Coding-Projects-Part5.pdf 651.9 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/139 studentsT.pdf 582.8 kB02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----/007 Python-for-Finance-Projects-Part1.pdf 525.1 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/145 Hypothesis.pdf 519.5 kB12 Common Probability Distributions and how to construct Confidence Intervals/119 Prob-distr.pdf 489.5 kB15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---/156 Coding-Projects-Part3.pdf 475.0 kB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/101 Python-for-Finance-Projects-Part2.pdf 473.9 kB11 How to perform Descriptive Statistics on Populations and Samples/114 skew-kurtosis.pdf 435.3 kB12 Common Probability Distributions and how to construct Confidence Intervals/122 Normal.pdf 422.3 kB12 Common Probability Distributions and how to construct Confidence Intervals/127 standard-normal.pdf 403.4 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/147 p-value.pdf 353.8 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/137 central-limit-th.pdf 349.3 kB30 Case Study Multi-Factor Models (Fama-French)/364 Fama-French.pdf 329.9 kB11 How to perform Descriptive Statistics on Populations and Samples/106 Central-tend.pdf 306.4 kB11 How to perform Descriptive Statistics on Populations and Samples/110 Dispersion.pdf 306.1 kB28 OLS Regression ANOVA and Hypothesis Testing/345 ANOVA.pdf 273.5 kB02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----/006 Course-Materials-Part1.zip 258.3 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/181 Value-at-Risk.pdf 257.4 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/027 NPV.pdf 251.6 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/059 IRR.pdf 248.8 kB31 Issues in Linear Regression Analysis and Logistic Regression/379 Logistic-Regression.pdf 245.6 kB27 Correlation and Regression/332 Cov-Corr.pdf 233.6 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/098 Capital-budgeting.pdf 228.2 kB28 OLS Regression ANOVA and Hypothesis Testing/350 Testing.pdf 227.9 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/008 TVM.pdf 200.5 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/026 PV-FV-many.pdf 199.2 kB30 Case Study Multi-Factor Models (Fama-French)/369 Profitability-Investment.pdf 194.7 kB30 Case Study Multi-Factor Models (Fama-French)/367 Size-Value.pdf 193.4 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/011 Interest-Rates.pdf 192.3 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/085 Annuity.pdf 191.5 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/061 Bonds-YTM.pdf 182.9 kB27 Correlation and Regression/339 Coeff.pdf 182.0 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/020 FV-many.pdf 180.2 kB05 100 Python Objects Data Types Operators Functional Programming/045 Mutability.pdf 170.5 kB29 Multiple Regression Models/355 Multiple-Reg.pdf 167.9 kB05 100 Python Objects Data Types Operators Functional Programming/031 Type-Hierarchy.pdf 166.3 kB29 Multiple Regression Models/360 F-Test.pdf 159.4 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/093 Mortgage.pdf 156.5 kB27 Correlation and Regression/337 Regression.pdf 153.8 kB28 OLS Regression ANOVA and Hypothesis Testing/343 OLS.pdf 151.4 kB05 100 Python Objects Data Types Operators Functional Programming/052 Operators.pdf 149.1 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/014 Variables.pdf 146.4 kB29 Multiple Regression Models/358 Rsquared-adjusted.pdf 135.2 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/022 Indexing.pdf 125.8 kB08 The Numpy Package Working with numbers made easy/076 Slicing-arrays.pdf 125.5 kB08 The Numpy Package Working with numbers made easy/075 Mutability-arrays.pdf 124.7 kB27 Correlation and Regression/334 Visual.pdf 121.4 kB05 100 Python Objects Data Types Operators Functional Programming/040 Slicing-cheatsheet.pdf 107.8 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/190 CVaR.pdf 101.5 kB05 100 Python Objects Data Types Operators Functional Programming/033 Built-in-func.pdf 94.8 kB15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---/155 Course-Materials-Part3.zip 94.6 kB20 Pandas Basics - Starting from Zero/208 pandas-iloc.pdf 73.7 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/017 keywords.pdf 71.1 kB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/102 Course-Materials-Part2.zip 70.8 kB20 Pandas Basics - Starting from Zero/211 Pandas-loc.pdf 69.4 kB
24 Managing Time Series and Financial Data with Pandas/284 Creating a customized DatetimeIndex with pd.date_range().en.srt 18.5 kB22 Data Visualization with Pandas Matplotlib and Seaborn/254 Categorical Seaborn Plots.en.srt 17.5 kB01 Getting Started/005 How to work with Jupyter Notebooks.en.srt 17.3 kB23 Pandas Advanced/277 stack() and unstack().en.srt 17.0 kB24 Managing Time Series and Financial Data with Pandas/288 Downsampling Time Series with resample() (Part 1).en.srt 16.7 kB30 Case Study Multi-Factor Models (Fama-French)/364 Fama-French An Introduction.en.srt 16.5 kB23 Pandas Advanced/267 Adding new Rows to a DataFrame.en.srt 16.0 kB25 Creating analyzing and optimizing Financial Portfolios with Python/319 The Portfolio Diversification Effect.en.srt 15.5 kB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/100 Statistics - Overview Terms and Vocabulary.en.srt 15.4 kB21 Pandas Intermediate/217 Analyzing Numerical Series with unique() nunique() and value_counts().en.srt 15.1 kB23 Pandas Advanced/263 Arithmetic Operations (Part 1).en.srt 15.1 kB23 Pandas Advanced/264 Arithmetic Operations (Part 2).en.srt 14.8 kB23 Pandas Advanced/275 split-apply-combine applied.en.srt 14.6 kB25 Creating analyzing and optimizing Financial Portfolios with Python/320 Systematic vs. unsystematic Risk.en.srt 14.5 kB17 How to create your own user-defined Functions/179 Putting it all together - Case Study.en.srt 14.3 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/094 Mortgage Loan Analysis - Interest Payments and Amortization Schedule.en.srt 14.2 kB22 Data Visualization with Pandas Matplotlib and Seaborn/255 Seaborn Regression Plots.en.srt 14.2 kB22 Data Visualization with Pandas Matplotlib and Seaborn/249 Customization of Plots.en.srt 14.2 kB31 Issues in Linear Regression Analysis and Logistic Regression/378 Detecting and Handling Serial Correlation (Autocorrelation).en.srt 14.1 kB25 Creating analyzing and optimizing Financial Portfolios with Python/310 Creating many random Portfolios with Python.en.srt 13.8 kB08 The Numpy Package Working with numbers made easy/083 Coding Exercise 7.en.srt 13.7 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/060 Solving for a Project s IRR.en.srt 13.7 kB05 100 Python Objects Data Types Operators Functional Programming/046 Coding Exercise 3.en.srt 13.6 kB21 Pandas Intermediate/241 Handling NA Values missing Values.en.srt 13.4 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/068 Customizing Plots (Part 2).en.srt 13.3 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/192 Dynamic path-dependent Simulations (Part 2).en.srt 13.2 kB12 Common Probability Distributions and how to construct Confidence Intervals/128 Probabilities and Z-Values with scipy.stats.en.srt 13.0 kB24 Managing Time Series and Financial Data with Pandas/303 Importing Financial Data from Excel.en.srt 13.0 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/145 Hypothesis Testing (Theory).en.srt 12.9 kB21 Pandas Intermediate/233 Filtering DataFrames (one Condition).en.srt 12.8 kB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/197 Download of Part 4 Course Materials.en.srt 12.8 kB20 Pandas Basics - Starting from Zero/210 Slicing Rows and Columns with loc (label-based indexing).en.srt 12.7 kB21 Pandas Intermediate/246 Coding Exercise 6 (Solution).en.srt 12.7 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/063 Coding Exercise 5.en.srt 12.6 kB28 OLS Regression ANOVA and Hypothesis Testing/349 Confidence Intervals for Regression Coefficients - Bootstrapping.en.srt 12.5 kB25 Creating analyzing and optimizing Financial Portfolios with Python/316 Coding Exercise 13 (Solution).en.srt 12.2 kB20 Pandas Basics - Starting from Zero/199 First Steps (Inspection of Data Part 1).en.srt 12.2 kB21 Pandas Intermediate/226 Changing Row Index with set_index() and reset_index().en.srt 12.1 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/061 Bonds and the Yield to Maturity - YTM (Theory).en.srt 12.1 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/153 Testing for Normality of Financial Returns with scipy.stats.en.srt 12.1 kB21 Pandas Intermediate/243 Summary Statistics and Accumulations.en.srt 12.0 kB23 Pandas Advanced/274 split-apply-combine.en.srt 12.0 kB05 100 Python Objects Data Types Operators Functional Programming/043 Adding and removing Elements fromto Lists.en.srt 11.9 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/194 Dynamic path-dependent Simulations (Part 4).en.srt 11.9 kB20 Pandas Basics - Starting from Zero/212 Summary and Outlook.en.srt 11.8 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/187 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 3).en.srt 11.7 kB28 OLS Regression ANOVA and Hypothesis Testing/344 OLS Regression with statsmodels - Intro.en.srt 11.7 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/146 Two-tailed Z-Test with known Population Variance.en.srt 11.7 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/056 Keywords pass continue and break.en.srt 11.7 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/019 Coding Exercise 1.en.srt 11.7 kB24 Managing Time Series and Financial Data with Pandas/281 Converting strings to datetime objects with pd.to_datetime().en.srt 11.4 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/055 Conditional Statements.en.srt 11.4 kB30 Case Study Multi-Factor Models (Fama-French)/367 The Factors Size Value.en.srt 11.2 kB01 Getting Started/004 Jupyter Notebooks - let s get started.en.srt 11.1 kB22 Data Visualization with Pandas Matplotlib and Seaborn/248 Visualization with Matplotlib (Intro).en.srt 11.1 kB21 Pandas Intermediate/231 Sorting DataFrames with sort_index() and sort_values().en.srt 11.0 kB28 OLS Regression ANOVA and Hypothesis Testing/345 OLS Regression - ANOVA (Theory).en.srt 11.0 kB20 Pandas Basics - Starting from Zero/200 First Steps (Inspection of Data Part 2).en.srt 10.9 kB21 Pandas Intermediate/240 Intro to NA Values missing Values.en.srt 10.9 kB05 100 Python Objects Data Types Operators Functional Programming/054 Coding Exercise 4.en.srt 10.9 kB31 Issues in Linear Regression Analysis and Logistic Regression/373 Detecting and Handling Outliers (Part 1).en.srt 10.9 kB21 Pandas Intermediate/222 Sorting of Series and Introduction to the inplace - parameter.en.srt 10.8 kB24 Managing Time Series and Financial Data with Pandas/300 Measuring Stock Performance with MEAN Returns and STD of Returns.en.srt 10.8 kB31 Issues in Linear Regression Analysis and Logistic Regression/377 Detecting and Correcting Heteroskedasticity.en.srt 10.8 kB05 100 Python Objects Data Types Operators Functional Programming/044 Mutable vs. immutable Objects (Part 1).en.srt 10.6 kB22 Data Visualization with Pandas Matplotlib and Seaborn/256 Seaborn Heatmaps.en.srt 10.5 kB25 Creating analyzing and optimizing Financial Portfolios with Python/326 Coding Exercise 14 (Solution).en.srt 10.5 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/029 Coding Exercise 2.en.srt 10.4 kB24 Managing Time Series and Financial Data with Pandas/291 Advanced Indexing with reindex().en.srt 10.4 kB29 Multiple Regression Models/359 Regression Coefficients Hypothesis Testing Model Specification.en.srt 10.4 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/069 Plotting NPV IRR.en.srt 10.4 kB05 100 Python Objects Data Types Operators Functional Programming/049 Intro to Strings.en.srt 10.3 kB17 How to create your own user-defined Functions/177 Scope - easily explained.en.srt 10.3 kB24 Managing Time Series and Financial Data with Pandas/289 Downsampling Time Series with resample (Part 2).en.srt 10.2 kB24 Managing Time Series and Financial Data with Pandas/295 Importing Stock Price Data from Yahoo Finance (it still works).en.srt 10.2 kB29 Multiple Regression Models/361 Creating and working with Dummy Variables (Part 1).en.srt 10.2 kB24 Managing Time Series and Financial Data with Pandas/301 Financial Time Series - Return and Risk.en.srt 10.1 kB20 Pandas Basics - Starting from Zero/201 Built-in Functions Attributes and Methods.en.srt 10.1 kB25 Creating analyzing and optimizing Financial Portfolios with Python/309 Creating the equally-weighted Portfolio.en.srt 10.1 kB23 Pandas Advanced/272 Understanding the GroupBy Object.en.srt 10.0 kB23 Pandas Advanced/265 Creating DataFrames from Scratch with pd.DataFrame().en.srt 10.0 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/024 For Loops - Iterating over Lists.en.srt 9.9 kB24 Managing Time Series and Financial Data with Pandas/280 Importing Time Series Data from csv-files.en.srt 9.8 kB30 Case Study Multi-Factor Models (Fama-French)/365 Single-Factor Models with the Fama-French Market Portfolio (Part 1).en.srt 9.8 kB21 Pandas Intermediate/239 Coding Exercise 5 (Solution).en.srt 9.8 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/027 The Net Present Value - NPV (Theory).en.srt 9.7 kB08 The Numpy Package Working with numbers made easy/072 Numpy Arrays.en.srt 9.7 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/093 Mortgage Loan Analysis - Debt Sizing.en.srt 9.5 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/191 Dynamic path-dependent Simulations (Part 1).en.srt 9.5 kB05 100 Python Objects Data Types Operators Functional Programming/053 Comparison Logical and Membership Operators in Action.en.srt 9.5 kB27 Correlation and Regression/335 Creating a Confidence Interval for the Correlation Coefficient (Bootstrapping).en.srt 9.3 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/026 Calculate FV and PV for many Cashflows.en.srt 9.3 kB21 Pandas Intermediate/236 Advanced Filtering with between() isin() and ~.en.srt 9.2 kB24 Managing Time Series and Financial Data with Pandas/306 Coding Exercise 12 (Solution).en.srt 9.2 kB08 The Numpy Package Working with numbers made easy/071 Modules Packages and Libraries - No need to reinvent the Wheel.en.srt 9.1 kB31 Issues in Linear Regression Analysis and Logistic Regression/376 Detecting and Handling Multicollinearity.en.srt 9.1 kB20 Pandas Basics - Starting from Zero/204 Selecting Columns.en.srt 9.1 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/085 Evaluating Annuities with np.fv() - Funding Phase.en.srt 9.1 kB01 Getting Started/003 How to download and install Anaconda for Python coding.en.srt 9.0 kB30 Case Study Multi-Factor Models (Fama-French)/368 How to create a Fama-French Three-Factor Model.en.srt 9.0 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/091 How to evaluate a Retirement Plan A-Z.en.srt 9.0 kB27 Correlation and Regression/332 Covariance and Correlation Coefficient (Theory).en.srt 9.0 kB29 Multiple Regression Models/356 Movies Dataset - Preparing the Data.en.srt 9.0 kB25 Creating analyzing and optimizing Financial Portfolios with Python/322 Beta and Alpha.en.srt 9.0 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/058 While Loops.en.srt 9.0 kB25 Creating analyzing and optimizing Financial Portfolios with Python/321 Capital Asset Pricing Model (CAPM) Security Market Line (SLM).en.srt 8.9 kB25 Creating analyzing and optimizing Financial Portfolios with Python/323 Redefining the Market Portfolio.en.srt 8.8 kB21 Pandas Intermediate/220 Analyzing non-numerical Series with unique() nunique() value_counts().en.srt 8.8 kB24 Managing Time Series and Financial Data with Pandas/283 Indexing and Slicing Time Series.en.srt 8.7 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/150 Two-tailed t-Test (unknown Population Variance).en.srt 8.7 kB24 Managing Time Series and Financial Data with Pandas/298 The shift() method.en.srt 8.7 kB20 Pandas Basics - Starting from Zero/206 Selecting Rows with iloc (position-based indexing).en.srt 8.7 kB12 Common Probability Distributions and how to construct Confidence Intervals/129 Confidence Intervals with scipy.stats.en.srt 8.7 kB24 Managing Time Series and Financial Data with Pandas/299 The methods diff() and pct_change().en.srt 8.6 kB29 Multiple Regression Models/362 Creating and working with Dummy Variables (Part 2).en.srt 8.6 kB25 Creating analyzing and optimizing Financial Portfolios with Python/313 Finding the Optimal Portfolio.en.srt 8.6 kB22 Data Visualization with Pandas Matplotlib and Seaborn/258 Coding Exercise 7 (Solution).en.srt 8.5 kB25 Creating analyzing and optimizing Financial Portfolios with Python/312 Portfolio Analysis and the Sharpe Ratio with Python.en.srt 8.4 kB23 Pandas Advanced/273 Splitting with many Keys.en.srt 8.3 kB05 100 Python Objects Data Types Operators Functional Programming/047 Tuples.en.srt 8.3 kB22 Data Visualization with Pandas Matplotlib and Seaborn/252 Scatterplots.en.srt 8.3 kB23 Pandas Advanced/261 Removing Rows.en.srt 8.3 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/016 More on Variables and Memory.en.srt 8.3 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/092 Retirement Plan Sensitivity Analysis.en.srt 8.3 kB21 Pandas Intermediate/216 First Steps with Pandas Series.en.srt 8.2 kB22 Data Visualization with Pandas Matplotlib and Seaborn/251 Histogramms (Part 2).en.srt 8.2 kB05 100 Python Objects Data Types Operators Functional Programming/048 Dictionaries.en.srt 8.1 kB12 Common Probability Distributions and how to construct Confidence Intervals/119 Probability Distributions - Overview.en.srt 8.1 kB11 How to perform Descriptive Statistics on Populations and Samples/103 Population vs. Sample.en.srt 8.1 kB27 Correlation and Regression/338 A simple Linear Regression Model with numpy Scipy.en.srt 8.1 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/189 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 2).en.srt 8.1 kB20 Pandas Basics - Starting from Zero/214 Coding Exercise 2 (Solution).en.srt 8.1 kB11 How to perform Descriptive Statistics on Populations and Samples/110 Variability around the Central Tendency Dispersion (Theory).en.srt 8.0 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/188 Monte Carlo Simulations for Value-at-Risk - Bootstrapping (Part 1).en.srt 7.9 kB24 Managing Time Series and Financial Data with Pandas/297 Normalizing Time Series to a Base Value (100).en.srt 7.9 kB17 How to create your own user-defined Functions/173 The Default Argument None.en.srt 7.8 kB29 Multiple Regression Models/355 Multiple Regression (Theory).en.srt 7.8 kB27 Correlation and Regression/330 Cleaning and preparing the Data - Movies Database (Part 1).en.srt 7.8 kB31 Issues in Linear Regression Analysis and Logistic Regression/381 Logistic Regression with statsmodels (Part 2).en.srt 7.8 kB30 Case Study Multi-Factor Models (Fama-French)/366 Single-Factor Models with the Fama-French Market Portfolio (Part 2).en.srt 7.7 kB23 Pandas Advanced/276 Hierarchical Indexing with Groupby.en.srt 7.7 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/186 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 2).en.srt 7.7 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/008 Intro to the Time Value of Money (TVM) Concept (Theory).en.srt 7.7 kB25 Creating analyzing and optimizing Financial Portfolios with Python/324 Cyclical vs. non-cyclical Stocks - another Intuition on Beta.en.srt 7.6 kB17 How to create your own user-defined Functions/170 Defining your first user-defined Function.en.srt 7.6 kB23 Pandas Advanced/279 Coding Exercise 9 (Solution).en.srt 7.6 kB05 100 Python Objects Data Types Operators Functional Programming/033 Build-in Functions.en.srt 7.6 kB12 Common Probability Distributions and how to construct Confidence Intervals/126 The Standard Normal Distribution and Z-Values.en.srt 7.6 kB23 Pandas Advanced/270 Coding Exercise 8 (Solution).en.srt 7.6 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/149 One-tailed Z-Test with known Population Variance.en.srt 7.5 kB17 How to create your own user-defined Functions/171 What s the difference between Positional Arguments vs. Keyword Arguments.en.srt 7.5 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/090 Frequency of compounding and the effective annual interest rate.en.srt 7.3 kB05 100 Python Objects Data Types Operators Functional Programming/030 Data Types in Action.en.srt 7.3 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/097 Capital Budgeting - Mutually exclusive Projects (Part 2).en.srt 7.3 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/059 The Internal Rate of Return - IRR (Theory).en.srt 7.3 kB24 Managing Time Series and Financial Data with Pandas/290 The PeriodIndex object.en.srt 7.3 kB21 Pandas Intermediate/219 EXCURSUS Updating Pandas Anaconda.en.srt 7.3 kB05 100 Python Objects Data Types Operators Functional Programming/035 Floats.en.srt 7.3 kB27 Correlation and Regression/331 Cleaning and preparing the Data - Movies Database (Part 2).en.srt 7.2 kB12 Common Probability Distributions and how to construct Confidence Intervals/120 Discrete Uniform Distributions.en.srt 7.2 kB22 Data Visualization with Pandas Matplotlib and Seaborn/253 First Steps with Seaborn.en.srt 7.2 kB08 The Numpy Package Working with numbers made easy/080 Advanced Filtering Bitwise Operators.en.srt 7.2 kB11 How to perform Descriptive Statistics on Populations and Samples/115 How to calculate Skew and Kurtosis with scipy.stats.en.srt 7.0 kB12 Common Probability Distributions and how to construct Confidence Intervals/122 The Normal Distribution (Theory).en.srt 7.0 kB24 Managing Time Series and Financial Data with Pandas/282 Initial Analysis Visualization of Time Series.en.srt 7.0 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/181 What is the Value-at-Risk (VaR) (Theory).en.srt 7.0 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/067 Customizing Plots (Part 1).en.srt 7.0 kB17 How to create your own user-defined Functions/172 How to work with Default Arguments.en.srt 6.9 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/086 Evaluating Annuities with np.fv() - Payout Phase.en.srt 6.8 kB08 The Numpy Package Working with numbers made easy/075 Changing Elements in Numpy Arrays Mutability.en.srt 6.8 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/159 How to slice 2-dim Numpy Arrays (Part 1).en.srt 6.8 kB21 Pandas Intermediate/225 First Steps with Pandas Index Objects.en.srt 6.7 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/152 Hypothesis Testing with Bootstrapping.en.srt 6.7 kB01 Getting Started/001 Tips How to get the most out of this Course (don t skip).en.srt 6.7 kB05 100 Python Objects Data Types Operators Functional Programming/036 How to round Floats (and Integers) with round().en.srt 6.7 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/143 Bootstrapping with Python an alternative method without Statistics.en.srt 6.7 kB30 Case Study Multi-Factor Models (Fama-French)/370 How to create a Fama-French Five-Factor Model.en.srt 6.7 kB20 Pandas Basics - Starting from Zero/209 Selecting Rows with loc (label-based indexing).en.srt 6.7 kB12 Common Probability Distributions and how to construct Confidence Intervals/123 Creating a normally distributed Random Variable.en.srt 6.6 kB11 How to perform Descriptive Statistics on Populations and Samples/106 Measures of Central Tendency (Theory).en.srt 6.6 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/065 Line Plots.en.srt 6.6 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/131 Sample Statistic Sampling Error and Sampling Distribution (Theory).en.srt 6.6 kB17 How to create your own user-defined Functions/178 How to create Nested Functions.en.srt 6.6 kB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/198 Tabular Data and Pandas DataFrames.en.srt 6.5 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/013 Introduction to Variables.en.srt 6.5 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/142 Student s t-Distribution vs. Normal Distribution with scipy.stats.en.srt 6.5 kB21 Pandas Intermediate/232 nunique() and nlargest() nsmallest() with DataFrames.en.srt 6.5 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/136 Central Limit Theorem (Coding Part 2).en.srt 6.5 kB08 The Numpy Package Working with numbers made easy/082 Creating Numpy Arrays from Scratch.en.srt 6.5 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/165 Arithmetic Vectorized Operations with 2-dim Numpy Arrays.en.srt 6.4 kB05 100 Python Objects Data Types Operators Functional Programming/037 More on Lists.en.srt 6.4 kB27 Correlation and Regression/333 How to calculate Covariance and Correlation in Python.en.srt 6.4 kB17 How to create your own user-defined Functions/175 Sequences as arguments and args.en.srt 6.4 kB
01 Getting Started/002 FAQ Your Questions answered.html 6.4 kB24 Managing Time Series and Financial Data with Pandas/287 Coding Exercise 10 (Solution).en.srt 6.4 kB02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----/006 Overview Download of Course Materials for Part 1.en.srt 6.3 kB20 Pandas Basics - Starting from Zero/207 Slicing Rows and Columns with iloc (position-based indexing).en.srt 6.3 kB27 Correlation and Regression/334 Correlation and Scatterplots visual Interpretation.en.srt 6.3 kB08 The Numpy Package Working with numbers made easy/081 Determining a Project s Payback Period with np.where().en.srt 6.3 kB29 Multiple Regression Models/357 Multiple Regression Analysis with statsmodels.en.srt 6.3 kB08 The Numpy Package Working with numbers made easy/077 Numpy Array Methods and Attributes.en.srt 6.3 kB24 Managing Time Series and Financial Data with Pandas/293 Coding Exercise 11 (Solution).en.srt 6.2 kB26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/327 Introduction to Regression Analysis.en.srt 6.2 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/185 Monte Carlo Simulations for Value-at-Risk - Parametric (Part 1).en.srt 6.2 kB24 Managing Time Series and Financial Data with Pandas/296 Initial Inspection and Visualization.en.srt 6.2 kB23 Pandas Advanced/260 Removing Columns.en.srt 6.2 kB25 Creating analyzing and optimizing Financial Portfolios with Python/314 Sharpe Ratio - visualized and explained.en.srt 6.1 kB29 Multiple Regression Models/360 How to test the Significance of the Model as a whole (F-Test).en.srt 6.1 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/011 Interest Rates and Returns (Theory).en.srt 6.1 kB11 How to perform Descriptive Statistics on Populations and Samples/105 Relative and Cumulative Frequencies with plt.hist().en.srt 6.1 kB30 Case Study Multi-Factor Models (Fama-French)/369 The Factors Profitability and Investment.en.srt 6.1 kB28 OLS Regression ANOVA and Hypothesis Testing/353 Case Study (Part 3) The Market Model (Single Factor Model).en.srt 6.0 kB21 Pandas Intermediate/224 Coding Exercise 3 (Solution).en.srt 6.0 kB21 Pandas Intermediate/235 Filtering DataFrames by many Conditions (OR).en.srt 6.0 kB24 Managing Time Series and Financial Data with Pandas/304 Merging Aligning Financial Time Series (hands-on).en.srt 6.0 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/057 Calculate a Project s Payback Period.en.srt 5.9 kB31 Issues in Linear Regression Analysis and Logistic Regression/372 Linear Regression - not that easy.en.srt 5.9 kB27 Correlation and Regression/340 Case Study (Part 1) The Market Model (Single Factor Model).en.srt 5.9 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/182 Analyzing the Data past Performance.en.srt 5.9 kB20 Pandas Basics - Starting from Zero/203 Explore your own Dataset Coding Exercise 1 (Solution).en.srt 5.9 kB05 100 Python Objects Data Types Operators Functional Programming/045 Mutable vs. immutable Objects (Part 2).en.srt 5.9 kB31 Issues in Linear Regression Analysis and Logistic Regression/380 Logistic Regression with statsmodels (Part 1).en.srt 5.9 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/140 Unknown Population Variance - the Standard Case (Example 1).en.srt 5.8 kB23 Pandas Advanced/268 Manipulating Elements in a DataFrame.en.srt 5.8 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/025 The range Object - another Iterable.en.srt 5.8 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/163 Reshaping and Transposing 2-dim Numpy Arrays.en.srt 5.8 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/084 Evaluating Investments with np.npv() and np.irr().en.srt 5.8 kB17 How to create your own user-defined Functions/174 How to unpack Iterables.en.srt 5.8 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/139 The Student s t-distribution What is it and whywhen do we use it.en.srt 5.8 kB08 The Numpy Package Working with numbers made easy/076 View vs. copy - potential Pitfalls when slicing Numpy Arrays.en.srt 5.7 kB24 Managing Time Series and Financial Data with Pandas/302 Financial Time Series - Covariance and Correlation.en.srt 5.7 kB12 Common Probability Distributions and how to construct Confidence Intervals/117 How to generate Random Numbers with Numpy.en.srt 5.7 kB08 The Numpy Package Working with numbers made easy/079 Boolean Arrays and Conditional Filtering.en.srt 5.6 kB05 100 Python Objects Data Types Operators Functional Programming/038 Lists and Element-wise Operations.en.srt 5.6 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/138 Point Estimates vs. Confidence Interval Estimates (known Population Variance).en.srt 5.6 kB25 Creating analyzing and optimizing Financial Portfolios with Python/311 What is the Sharpe Ratio and a Risk Free Asset.en.srt 5.6 kB31 Issues in Linear Regression Analysis and Logistic Regression/375 Non-Linear Relationships - Feature Transformation.en.srt 5.6 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/162 How to perform row-wise and column-wise Operations.en.srt 5.6 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/183 How to use the Parametric Method to calculate Value-at-Risk (VaR).en.srt 5.5 kB05 100 Python Objects Data Types Operators Functional Programming/052 Operators (Theory).en.srt 5.5 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/157 How to work with nested Lists.en.srt 5.4 kB22 Data Visualization with Pandas Matplotlib and Seaborn/250 Histogramms (Part 1).en.srt 5.4 kB21 Pandas Intermediate/221 The copy() method.en.srt 5.4 kB11 How to perform Descriptive Statistics on Populations and Samples/114 Skew and Kurtosis (Theory).en.srt 5.4 kB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/102 Download of Part 2 Course Materials.en.srt 5.3 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/018 The print() Function.en.srt 5.3 kB21 Pandas Intermediate/234 Filtering DataFrames by many Conditions (AND).en.srt 5.3 kB05 100 Python Objects Data Types Operators Functional Programming/039 Slicing Lists.en.srt 5.2 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/190 Conditional Value-at-Risk (CVaR).en.srt 5.2 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/132 Sampling with np.random.choice().en.srt 5.2 kB28 OLS Regression ANOVA and Hypothesis Testing/348 OLS Regression with statsmodels and DataFrames.en.srt 5.2 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/135 Central Limit Theorem (Coding Part 1).en.srt 5.1 kB05 100 Python Objects Data Types Operators Functional Programming/050 String Replacement.en.srt 5.0 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/133 Sampling Distribution.en.srt 5.0 kB11 How to perform Descriptive Statistics on Populations and Samples/108 Coding Measures of Central Tendency - Geometric Mean.en.srt 5.0 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/017 Variables - Dos Don ts and Conventions.en.srt 4.9 kB21 Pandas Intermediate/228 Renaming Index Column Labels with rename().en.srt 4.9 kB25 Creating analyzing and optimizing Financial Portfolios with Python/307 Intro.en.srt 4.9 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/012 Calculate Interest Rates and Returns with Python.en.srt 4.8 kB12 Common Probability Distributions and how to construct Confidence Intervals/121 Continuous Uniform Distributions.en.srt 4.8 kB28 OLS Regression ANOVA and Hypothesis Testing/352 Regression Analysis with statsmodels - the Summary Table.en.srt 4.8 kB08 The Numpy Package Working with numbers made easy/074 Vectorized Operations with Numpy Arrays.en.srt 4.8 kB21 Pandas Intermediate/237 any() and all().en.srt 4.8 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/148 Calculating and interpreting z-statistic and p-value with scipy.stats.en.srt 4.7 kB08 The Numpy Package Working with numbers made easy/078 Numpy Universal Functions.en.srt 4.7 kB31 Issues in Linear Regression Analysis and Logistic Regression/379 Logistic Regression (Theory).en.srt 4.7 kB28 OLS Regression ANOVA and Hypothesis Testing/350 Hypothesis Testing of Regression Coefficients (Theory).en.srt 4.7 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/158 2-dimensional Numpy Arrays.en.srt 4.7 kB28 OLS Regression ANOVA and Hypothesis Testing/351 Hypothesis Testing of Regression Coefficients with statsmodels.en.srt 4.7 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/166 The keepdims parameter.en.srt 4.6 kB20 Pandas Basics - Starting from Zero/205 Selecting Rows with Square Brackets (not advisable).en.srt 4.6 kB11 How to perform Descriptive Statistics on Populations and Samples/104 Visualizing Frequency Distributions with plt.hist().en.srt 4.6 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/168 Merging and Concatenating Numpy Arrays.en.srt 4.6 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/164 Creating 2-dim Numpy Arrays from Scratch.en.srt 4.6 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/167 Adding Removing Elements.en.srt 4.6 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/161 Recap Changing Elements in a Numpy Array slice.en.srt 4.6 kB12 Common Probability Distributions and how to construct Confidence Intervals/124 Normal Distribution - Probability Density Function (pdf) with scipy.stats.en.srt 4.6 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/020 TVM Problems with many Cashflows.en.srt 4.6 kB11 How to perform Descriptive Statistics on Populations and Samples/107 Coding Measures of Central Tendency - Mean and Median.en.srt 4.6 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/137 Central Limit Theorem (Theory).en.srt 4.5 kB21 Pandas Intermediate/230 Coding Exercise 4 (Solution).en.srt 4.5 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/098 Capital Budgeting - Mutually exclusive Projects (Part 3).en.srt 4.4 kB05 100 Python Objects Data Types Operators Functional Programming/042 Sorting and Reversing Lists.en.srt 4.4 kB05 100 Python Objects Data Types Operators Functional Programming/031 The Data Type Hierarchy (Theory).en.srt 4.4 kB12 Common Probability Distributions and how to construct Confidence Intervals/118 Reproducibility with np.random.seed().en.srt 4.4 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/147 What is the p-value (Theory).en.srt 4.4 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/009 Calculate Future Values (FV) with Python Compounding.en.srt 4.3 kB27 Correlation and Regression/336 Testing for Correlation (t-Test).en.srt 4.3 kB21 Pandas Intermediate/244 The agg() method.en.srt 4.3 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/096 Capital Budgeting - Mutually exclusive Projects (Part 1).en.srt 4.3 kB11 How to perform Descriptive Statistics on Populations and Samples/112 Percentiles with PythonNumpy.en.srt 4.2 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/087 How to solve for annuity payments with np.pmt().en.srt 4.2 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/089 How to calculate the required Contract Value with np.pv().en.srt 4.2 kB11 How to perform Descriptive Statistics on Populations and Samples/113 Variance and Standard Deviation with PythonNumpy.en.srt 4.1 kB21 Pandas Intermediate/227 Changing Column Labels.en.srt 4.1 kB25 Creating analyzing and optimizing Financial Portfolios with Python/318 Capital Market Line (CML) Two-Fund-Theorem.en.srt 4.0 kB28 OLS Regression ANOVA and Hypothesis Testing/346 OLS Regression with Statsmodels - ANOVA.en.srt 4.0 kB23 Pandas Advanced/262 Adding new Columns to a DataFrame.en.srt 3.9 kB05 100 Python Objects Data Types Operators Functional Programming/034 Integers.en.srt 3.9 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/023 Indexing Lists.en.srt 3.9 kB23 Pandas Advanced/266 Adding new Rows (Hands-on).en.srt 3.8 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/151 One-tailed t-Test (unknown Population Variance).en.srt 3.8 kB12 Common Probability Distributions and how to construct Confidence Intervals/127 Properties of the Standard Normal Distribution (Theory).en.srt 3.8 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/141 Unknown Population Variance - the Standard Case (Example 2).en.srt 3.7 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/028 Calculate an Investment Project s NPV.en.srt 3.7 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/015 Excursus How to add inline comments.en.srt 3.7 kB24 Managing Time Series and Financial Data with Pandas/285 More on pd.date_range().en.srt 3.6 kB29 Multiple Regression Models/358 Coefficient of Determination (Adjusted R squared).en.srt 3.5 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/088 How to solve for the number of periodic payments with np.nper().en.srt 3.5 kB05 100 Python Objects Data Types Operators Functional Programming/041 Changing Elements in Lists.en.srt 3.5 kB15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---/156 Coding Projects Part 3 - Overview.en.srt 3.5 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/184 How to use the Historical Method to calculate Value-at-Risk (VaR).en.srt 3.4 kB11 How to perform Descriptive Statistics on Populations and Samples/109 Excursus Why Log Returns are useful.en.srt 3.4 kB17 How to create your own user-defined Functions/176 How to return many results.en.srt 3.4 kB06 How to solve for IRR YTM with While Loops and Conditional Statements/062 Solving for a Bond s Yield to Maturity (YTM).en.srt 3.4 kB27 Correlation and Regression/339 How to interpret Intercept and Slope Coefficient.en.srt 3.4 kB12 Common Probability Distributions and how to construct Confidence Intervals/125 Normal Distribution - Cumulative Distribution Function (cdf) with scipy.stats.en.srt 3.3 kB08 The Numpy Package Working with numbers made easy/073 Indexing and Slicing Numpy Arrays.en.srt 3.3 kB27 Correlation and Regression/337 What is Linear Regression (Theory).en.srt 3.3 kB31 Issues in Linear Regression Analysis and Logistic Regression/374 Detecting and Handling Outliers (Part 2).en.srt 3.3 kB32 What s next/382 Get your special BONUS here.html 3.3 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/095 Calculate PV of equal installments with np.pv() - Valuation of Bonds.en.srt 3.3 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/022 Zero-based Indexing and negative Indexing in Python (Theory).en.srt 3.2 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/134 Standard Error.en.srt 3.2 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/193 Dynamic path-dependent Simulations (Part 3).en.srt 3.1 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/010 Calculate Present Values (FV) with Python Discounting.en.srt 3.1 kB04 How to use Lists and For Loops for TVM Problems with many Cashflows/021 Intro to Python Lists.en.srt 3.0 kB10 --- PART 2 STATISTICS AND HYPOTHESIS TESTING WITH PYTHON NUMPY AND SCIPY ---/101 Coding Projects Part 2 - Overview.en.srt 2.9 kB27 Correlation and Regression/341 Case Study (Part 2) The Market Model (Single Factor Model).en.srt 2.9 kB28 OLS Regression ANOVA and Hypothesis Testing/343 OLS (Ordinary Least Squares) Regression (Theory).en.srt 2.9 kB05 100 Python Objects Data Types Operators Functional Programming/051 Booleans.en.srt 2.9 kB26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/328 Coding Projects Part 5 - Overview.en.srt 2.9 kB15 -- PART 3 ADVANCED PYTHON MONTE CARLO SIMULATIONS AND VALUE AT RISK (VAR) ---/155 Overview Download of Course Materials for Part 3.en.srt 2.9 kB21 Pandas Intermediate/242 Exporting DataFrames to csv.en.srt 2.8 kB24 Managing Time Series and Financial Data with Pandas/294 Getting Ready (Installing required library).en.srt 2.8 kB23 Pandas Advanced/271 Introduction to GroupBy Operations.en.srt 2.7 kB25 Creating analyzing and optimizing Financial Portfolios with Python/308 Getting the Data.en.srt 2.6 kB11 How to perform Descriptive Statistics on Populations and Samples/111 Minimum Maximum and Range with PythonNumpy.en.srt 2.5 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/066 Scatter Plots.en.srt 2.5 kB03 How to use Python as a Calculator for basic Time Value of Money Problems/014 Variables and Memory (Theory).en.srt 2.4 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/160 How to slice 2-dim Numpy Arrays (Part 2).en.srt 2.4 kB25 Creating analyzing and optimizing Financial Portfolios with Python/317 Intro CAPM.en.srt 2.3 kB28 OLS Regression ANOVA and Hypothesis Testing/347 Coefficient of Determination (R squared).en.srt 2.3 kB02 ---- PART 1 PYTHON BASICS TIME VALUE OF MONEY AND CAPITAL BUDGETING ----/007 Coding Projects Part 1 - Overview.en.srt 2.2 kB22 Data Visualization with Pandas Matplotlib and Seaborn/247 Intro.html 2.2 kB19 --- PART 4 MANAGING (FINANCIAL) DATA WITH PANDAS BEYOND EXCEL ---/196 Introduction.en.srt 2.1 kB05 100 Python Objects Data Types Operators Functional Programming/032 Excursus Dynamic Typing in Python.en.srt 2.0 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/064 Intro.en.srt 1.7 kB21 Pandas Intermediate/215 Intro.html 1.5 kB21 Pandas Intermediate/218 UPDATE Pandas Version 0.24.0 (Jan E9).html 1.2 kB23 Pandas Advanced/259 Intro.html 1.2 kB20 Pandas Basics - Starting from Zero/202 Explore your own Dataset Coding Exercise 1 (Intro).html 1.0 kB24 Managing Time Series and Financial Data with Pandas/286 Coding Exercise 10 (intro).html 1.0 kB24 Managing Time Series and Financial Data with Pandas/292 Coding Exercise 11 (intro).html 1.0 kB24 Managing Time Series and Financial Data with Pandas/305 Coding Exercise 12 (intro).html 1.0 kB25 Creating analyzing and optimizing Financial Portfolios with Python/315 Coding Exercise 13 (Intro).html 1.0 kB25 Creating analyzing and optimizing Financial Portfolios with Python/325 Coding Exercise 14 (Intro).html 1.0 kB20 Pandas Basics - Starting from Zero/213 Coding Exercise 2 (Intro).html 1.0 kB21 Pandas Intermediate/223 Coding Exercise 3 (Intro).html 1.0 kB21 Pandas Intermediate/229 Coding Exercise 4 (Intro).html 1.0 kB21 Pandas Intermediate/238 Coding Exercise 5 (Intro).html 1.0 kB21 Pandas Intermediate/245 Coding Exercise 6 (Intro).html 1.0 kB22 Data Visualization with Pandas Matplotlib and Seaborn/257 Coding Exercise 7 (Intro).html 1.0 kB23 Pandas Advanced/269 Coding Exercise 8 (Intro).html 1.0 kB23 Pandas Advanced/278 Coding Exercise 9 (Intro).html 1.0 kB07 How to create great graphs with Matplotlib - Plotting NPV and IRR/070 Coding Exercise 6.html 1.0 kB09 How to solve complex TVM and Capital Budgeting problems with Python and Numpy/099 Coding Exercise 8.html 1.0 kB11 How to perform Descriptive Statistics on Populations and Samples/116 Coding Exercise 1.html 1.0 kB12 Common Probability Distributions and how to construct Confidence Intervals/130 Coding Exercise 2.html 1.0 kB13 How to estimate Population parameters with Samples - Sampling and Estimation/144 Coding Exercise 3.html 1.0 kB14 How to perform Hypothesis Tests Z-Tests t-Tests Bootstrapping more/154 Coding Exercise 4.html 1.0 kB16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/169 Coding Exercise 1.html 1.0 kB17 How to create your own user-defined Functions/180 Coding Exercise 2.html 1.0 kB18 Monte Carlo Simulations and Value-at-Risk (VAR) with Python and Numpy/195 Coding Exercise 3.html 1.0 kB27 Correlation and Regression/342 Coding Exercise 1.html 1.0 kB28 OLS Regression ANOVA and Hypothesis Testing/354 Coding Exercise 2.html 1.0 kB29 Multiple Regression Models/363 Coding Exercise 3.html 1.0 kB30 Case Study Multi-Factor Models (Fama-French)/371 Coding Exercise 4.html 1.0 kB20 Pandas Basics - Starting from Zero/208 Position-based Indexing Cheat Sheets.html 1.0 kB20 Pandas Basics - Starting from Zero/211 Label-based Indexing Cheat Sheets.html 995 Bytes26 --- PART 5 REGRESSION ANALYSIS (A MUST-HAVE FOR MACHINE LEARNING) ---/329 Download of Part 5 Course Materials.html 995 Bytes05 100 Python Objects Data Types Operators Functional Programming/040 Slicing Cheat Sheet.html 968 Bytes
0. Websites you may like/[GigaCourse.Com].url 49 Bytes05 100 Python Objects Data Types Operators Functional Programming/[GigaCourse.Com].url 49 Bytes16 n-dimensional Numpy Arrays How to work with numerical Tabular Data/[GigaCourse.Com].url 49 Bytes27 Correlation and Regression/[GigaCourse.Com].url 49 Bytes[GigaCourse.Com].url 49 Bytes
Asian Street Meat COMPLETE COMPLETE COMPLETE COMPLETE 25.2 GB Asian Street Meat COMPLETE COMPLETE COMPLETE COMPLETE 25.2 GB Asian Street Meat COMPLETE COMPLETE COMPLETE COMPLETE 25.2 GB Black & Decker The Complete Guide to Sheds, 3rd Edition... 82.9 MB SIGLE COMPLETE INTEGRALI DI TUTTI I CARTONI ANIMATI... 1.9 GB
Complete Brahms Edition [Deutsche Grammophon] (not... 12.7 GB Icewind Dale Enhanced Edition (v2.0.2.3) & Icewind Dale... 5.8 GB Teach Yourself German Complete Course Package (Book +... 179.7 MB [150130] [ユニゾンシフト：ブロッサム] 時計仕掛けのレイライン -朝霧に散る花- 初回版 +... 7.0 GB Everybody Loves Raymond Complete Series 720p - Season 9... 12.5 GB Andor [HDTV 720p][Cap.205] 8145次下载
Cap
HDTV
720p
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载
2024
WEB
DL
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-EniaHD.mkv 5077次下载
WEB
DL
DDP5
The.Super.Cube.S01E09.1080p.iQ.WEB-DL.AAC2.0.H.264-VARYG.mkv 5040次下载
WEB
DL
Cube
Star.Wars.Andor.S02E05.I.Have.Friends.Everywhere.1080p.DS... 4944次下载
WEB
DL
Star
新桥恋人.电影港 地址发布页 www.dygang.me 收藏不迷路 4365次下载
me
www
发布页
Night at the Museum Battle of the Smithsonian 2009 2160p... 4161次下载
KiNGDOM
WEB
DL
www.UIndex.org - ... 4126次下载
www
MeGusta
HEVC
Palma.2.2024.WEB-DL.1080p.ExKinoRay.mkv 4000次下载
WEB
DL
2.2024
Guns N' Roses - Greatest Hits Live Broadcast Collection... 3915次下载
Live
Remastered
Hits
Andor [HDTV 720p][Cap.205] 8145次下载
Cap
HDTV
720p
(同人CG集) [白色絵の具 (無味ムスミ)] 友達の母が巨乳で金髪の淫乱美女でした.zip 6346次下载
zip
巨乳
CG
You.S05E02.720p.HEVC.x265-MeGusta[EZTVx.to].mkv 6221次下载
S05E02
HEVC
720p
up-mod-minecraft-play-with-friends-v1-21-80-28-... 6023次下载
982108028
mod
play
the.last.of.us.s02e02.1080p.web.h264-successful... 5335次下载
web
last
h264
异世降临.6v电影 地址发布页 www.6v123.net 收藏不迷路 5220次下载
www
发布页
6v123
Opasnaya.blizost.S01.2025.WEB-DL.1080p 5127次下载
WEB
DL
S01
Маня и Груня.2024.WEB-DL 720p.Files-x 5109次下载
2024
WEB
DL
Andor.S02E02.Sagrona.Teema.1080p.HEVC.x265-MeGu... 5100次下载
HEVC
Andor
mkv
Havoc.2025.1080p.NF.WEB-DL.DDP5.1.Atmos.H.264-E... 5077次下载
WEB
DL
DDP5
Shoot.Paragon.1970.DVDRip.XviD-AFO [NO-RAR] -...
Shoot
www
AFO
DASS-041-U
DASS
041
www.UIndex.org - Andy Richter Controls...
www
Episode
S01E04
[AniDub]_Sora_Kara_Furu_Ichioku_no_Hoshi_[Oriko_Qbiq]
Furu
no
Oriko
[BEST-TORRENTS.COM]...
Cheese
DL
2160p
【成人抖音-黑料-换妻-直播-手机搜7t7a.cc】麻豆传媒映画・爆操黑丝车模小姐姐・超级圆润...
麻豆
小姐姐
车模
Por siempre [HDTV 720p][Cap.106]
siempre
720p
Cap
Workaholics.S04E01.Season.4.Episode.1.WEBRip.72...
Workaholics
Episode
HoC
MobLand.S01E01.1080P.ENG.ITA.H264-TheBlackKing.mkv
ENG
H264
ITA
43606101 - Public Dick Flash Compilation..mp4
Dick
..
Compilation
吃瓜！去欧美留学的林淑瑶 ️被欧美大鸡巴驯化3P大战被洋吊深喉狂艹！
欧美
3P
被洋
Hellraiser III Hell On Earth 1992 1080p BluRay...
5.1
1992
AAC
Ghosts S04E21 Kyle 1080p PMTP WEB-DL DDP5 1 H...
WEB
DL
STC
[Gecko] Araiguma Calcal-dan - S01E07...
WEB
DL
AAC
salamander-2-salamander-deluxe-pack-play-statio...
salamander
play
full
Catalina Cruz live cam show pack
Catalina
show
live
SDMU-534
534
SDMU
dccdom.com@MIDV111C
com
MIDV111C
dccdom