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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
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~Get Your Files Here !/4. Azure Data Lake/7. Stacking and Unstacking.mp4 72.8 MB
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~Get Your Files Here !/4. Azure Data Lake/11. More Options with Crosstab.mp4 68.9 MB
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~Get Your Files Here !/4. Azure Data Lake/6. Working with Interpolate Method.mp4 60.5 MB
~Get Your Files Here !/4. Azure Data Lake/10. More on Crosstab.mp4 60.4 MB
~Get Your Files Here !/4. Azure Data Lake/13. Pivot Table Method.mp4 57.2 MB
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~Get Your Files Here !/4. Azure Data Lake/5. Importing Time Series Data.mp4 49.8 MB
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15. Module 15 Real World Data Analysis Example/5. Housing Dataset Analysis -Part Five.mp4 41.9 MB
1. Introduction/2. How to Download Course Notebooks.mp4 39.9 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/1. Merging Datasets on Keys (common columns).mp4 38.7 MB
4. Module 4 Data Structures And Sequences In Python/2. List.mp4 38.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/13. Scatter Plots and Pair Plots.mp4 37.5 MB
6. Module 6 NumPy Arrays/10. Mathematical and Statistical Methods.mp4 37.1 MB
7. Module 7 Pandas Dataframe/2. Dataframe in Pandas.mp4 35.6 MB
14. Module 14 Time Series/6. Handling Time Zone.mp4 35.1 MB
14. Module 14 Time Series/5. Shifting Data Through Time (Lagging and Leading).mp4 34.8 MB
14. Module 14 Time Series/3. Basics of Time Series.mp4 34.4 MB
15. Module 15 Real World Data Analysis Example/4. Housing Dataset Analysis -Part Four.mp4 33.5 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/7. Adding Annotations and Drawings on a Plot.mp4 33.1 MB
13. Module 13 Data Visualization with Matplotlib and Seaborn/2. Creating Figures and Subplots.mp4 32.7 MB
10. Module 10 Data Wrangling1 Hierarchical Indexing/1. Hierarchical Indexing.mp4 32.7 MB
6. Module 6 NumPy Arrays/2. Creating Ndarrays.mp4 32.7 MB
11. Module 11 Data Wrangling2 Combining and Merging Datasets/3. Concatenating Along an Axis.mp4 31.6 MB
14. Module 14 Time Series/8. Rolling and Moving Windows.mp4 31.2 MB
15. Module 15 Real World Data Analysis Example/3. Housing Dataset Analysis -Part Three.mp4 31.2 MB
14. Module 14 Time Series/4. Generating Date Ranges.mp4 30.9 MB
12. Module 12 Data Wrangling3 Reshaping and Pivoting/3. Reshaping by Pivoting (Long to Wide).mp4 30.3 MB

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08 Data Visualization With Pandas and Seaborn/004 Seaborn PairPlot and Heatmaps.mp4 173.9 MB
09 Pandas and Date_Time/009 Pandas DateTime Practical Project Part 2.mp4 172.9 MB
04 Pandas DataFrame Fundamentals/026 Feature Engineering and handling missing datasets.mp4 163.9 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/005 Python Basics_ Get User Input.mp4 155.1 MB
08 Data Visualization With Pandas and Seaborn/002 Seaborn Scatterplot and Countplot.mp4 152.8 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/027 Dealing with Files_ Text.mp4 152.6 MB
04 Pandas DataFrame Fundamentals/024 Pandas Operations with DataFrames.mp4 151.2 MB
05 DataFrames Concatenation, Merging and Joining/002 Dataframe Concatenation.mp4 149.2 MB
09 Pandas and Date_Time/011 Pandas and Data Visualization.mp4 143.3 MB
06 Pandas Multi-indexing and Groupby/010 Multi-indexing Operations Part 2.mp4 143.1 MB
09 Pandas and Date_Time/005 Date and Time Using Pandas.mp4 142.0 MB
04 Pandas DataFrame Fundamentals/014 Label-based elements selection Using .loc().mp4 122.6 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/007 Data Types in Python_ List.mp4 120.9 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/021 Loops_ List Comprehension.mp4 113.0 MB
10 Pandas and Text Data/012 Remove Stopwords from Text.mp4 108.8 MB
04 Pandas DataFrame Fundamentals/002 Define a Pandas DataFrame.mp4 107.1 MB
01 Course Introduction, Success Tips and Key Learning Outcomes/002 Introduction, Key Tips for Success, Getting Help and Course Certification.mp4 107.0 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/001 Python Basics_ Variables Assignment.mp4 106.8 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/009 Data Types in Python_ Strings.mp4 106.2 MB
11 Appendix_ Crash Course on Python Programming Fundamentals/033 Numpy_ Slicing and Indexing.mp4 101.6 MB

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【影视】 [Tutorialsplanet.NET] Udemy - Numpy Pandas in Python from Scratch

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02 - Python Refresher/004 Data Structures in Python.mp4 306.5 MB
02 - Python Refresher/002 String Functions in Python.mp4 184.3 MB
08 - Web Scraping & Data Analysis Using Python & SQL/001 How to Scrape a website in Python.mp4 150.8 MB
02 - Python Refresher/003 Control Flow VS Loops.mp4 124.2 MB
03 - Object Oriented Programming (OOP) In Python/002 Overviewing Constructor.mp4 92.2 MB
07 - Python Pandas Data Analysis & Visualization/005 Using Python Pandas Package to load PostgreSQL the Data Output file.mp4 85.9 MB
05 - Project Hangman Game/004 Project Solution Part 2.mp4 73.4 MB
04 - Project Color Choices Game/003 Project Solution.mp4 72.7 MB
02 - Python Refresher/001 Variables, Operators and Data Types in Python.mp4 68.0 MB
05 - Project Hangman Game/002 Project Helful Notes.mp4 61.3 MB
02 - Python Refresher/007 Files and Modules in Python.mp4 61.1 MB
04 - Project Color Choices Game/002 Project Helpful Notes.mp4 58.4 MB
08 - Web Scraping & Data Analysis Using Python & SQL/004 Save The Scraped Data to a Database.mp4 54.4 MB
01 - Introduction/002 Environment Preparing for Python.mp4 53.6 MB
02 - Python Refresher/006 Functions in Python.mp4 52.7 MB
08 - Web Scraping & Data Analysis Using Python & SQL/003 Data Visualization of the Scraped Data.mp4 51.5 MB
01 - Introduction/004 Understanding Data Types in Python.mp4 48.5 MB
01 - Introduction/003 Python2 VS Python3.mp4 45.9 MB
07 - Python Pandas Data Analysis & Visualization/009 Visualizing Data.mp4 43.2 MB
08 - Web Scraping & Data Analysis Using Python & SQL/002 Scrape a Table inside a Webpage using Pandas and LXML Python Modules!.mp4 43.1 MB

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【影视】 [FreeCourseSite.com] Udemy - Data Analysis with Pandas and Python

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1. Installation and Setup/7. MacOS - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.9 MB
1. Installation and Setup/11. Windows - Create conda Environment and Install pandas and Jupyter Notebook.mp4 117.2 MB
1. Installation and Setup/8. MacOS - Unpack Course Materials + The Start and Shutdown Process.mp4 116.2 MB
5. DataFrames II Filtering Data/1. This Module's Dataset + Memory Optimization.mp4 102.6 MB
1. Installation and Setup/5. MacOS - Install Anaconda Distribution.mp4 95.4 MB
2. BONUS Python Crash Course/8. String Methods.mp4 78.3 MB
11. Working with Dates and Times in Datasets/15. Timeseries Offsets.mp4 78.2 MB
11. Working with Dates and Times in Datasets/12. Selecting Rows from a DataFrame with a DateTimeIndex.mp4 77.9 MB
1. Installation and Setup/6. MacOS - Access the Terminal Application.mp4 76.6 MB
4. DataFrames I Introduction/2. Shared Methods and Attributes between Series and DataFrames.mp4 70.8 MB
6. DataFrames III Data Extraction/3. Retrieve Rows by Index Label with loc Accessor.mp4 64.1 MB
3. Series/8. Create Series from Dataset with the pd.read_csv Method.mp4 63.3 MB
6. DataFrames III Data Extraction/8. Rename Index Labels or Columns in a DataFrame.mp4 60.9 MB
2. BONUS Python Crash Course/7. Custom Functions.mp4 59.2 MB
2. BONUS Python Crash Course/10. Index Positions and Slicing.mp4 58.3 MB
11. Working with Dates and Times in Datasets/13. Timestamp Object Attributes and Methods.mp4 56.8 MB
2. BONUS Python Crash Course/11. Dictionaries.mp4 56.4 MB
2. BONUS Python Crash Course/4. Operators.mp4 53.1 MB
4. DataFrames I Introduction/1. Intro to DataFrames I Module.mp4 52.2 MB
12. Input and Output in pandas/6. Import Excel File into pandas with the read_excel Method.mp4 51.6 MB

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~Get Your Files Here !/4. Important Operations in Pandas/1. Hands On Important Operations and Functions in Pandas.mp4 112.3 MB
~Get Your Files Here !/3. Operations in Pandas/7. Hands On Hierarchical Indexing Part 1.mp4 102.9 MB
~Get Your Files Here !/5. Real World Project/2. Pandas Project Part 2 Data Analysis and Manipulation.mp4 102.4 MB
~Get Your Files Here !/3. Operations in Pandas/4. Hands On Drop Operations in Pandas.mp4 46.3 MB
~Get Your Files Here !/3. Operations in Pandas/10. Hands On Merging and Joining in Pandas.mp4 45.0 MB
~Get Your Files Here !/4. Important Operations in Pandas/2. Hands On Statistical Functions in Pandas.mp4 44.2 MB
~Get Your Files Here !/3. Operations in Pandas/14. Hands On Pivot Tables in Pandas.mp4 43.8 MB
~Get Your Files Here !/3. Operations in Pandas/5. Hands On Pandas Window.mp4 43.0 MB
~Get Your Files Here !/3. Operations in Pandas/1. Hands On Missing Values.mp4 38.1 MB
~Get Your Files Here !/3. Operations in Pandas/2. Hands On Concatenation and Append in Pandas.mp4 35.9 MB
~Get Your Files Here !/3. Operations in Pandas/11. Hands on Aggregation in Pandas.mp4 34.5 MB
~Get Your Files Here !/4. Important Operations in Pandas/3. Hands On Descriptive Statistics in Pandas.mp4 33.7 MB
~Get Your Files Here !/3. Operations in Pandas/12. Hands On Grouping in Pandas Part 1.mp4 33.0 MB
~Get Your Files Here !/3. Operations in Pandas/3. Hands On Sorting in Pandas.mp4 29.5 MB
~Get Your Files Here !/2. Pandas Basics/4. Hands On Data Frame in Pandas.mp4 29.0 MB
~Get Your Files Here !/2. Pandas Basics/6. Hands On Data Selection Part 1.mp4 19.8 MB
~Get Your Files Here !/3. Operations in Pandas/8. Hands On Hierarchical Indexing Part 2.mp4 19.0 MB
~Get Your Files Here !/2. Pandas Basics/5. Hands on Data Indexing in Pandas.mp4 16.0 MB
~Get Your Files Here !/3. Operations in Pandas/13. Hands On Grouping in Pandas Part 2.mp4 15.0 MB
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03. Python 3 on Raspberry Pi/4. Raspberry Pi Raspbian OS Setup Part 1.mp4 240.3 MB
21. Basic Altair Visualization/3. Encodings in Altair.mp4 231.7 MB
18. Python and MySQL/1. MySQL Installation on Windows.mp4 222.7 MB
11. Array Manipulation/1. Array Manipulation.mp4 198.8 MB
03. Python 3 on Raspberry Pi/5. Raspberry Pi Raspbian OS Setup Part 2.mp4 192.9 MB
18. Python and MySQL/2. Getting Started with MySQL and SQL Workbench.mp4 182.2 MB
07. Jupyter Notebook/6. A brief tour of Jupyter.mp4 160.5 MB
14. Plotting in Detail/3. Grid Axes and Labels.mp4 138.1 MB
08. Getting Started with NumPy/2. Ndarrays Indexing and Slicing.mp4 135.4 MB
03. Python 3 on Raspberry Pi/6. Remote Connection with VNC.mp4 128.6 MB
18. Python and MySQL/4. Explore MySQL Workbench.mp4 117.6 MB
17. Data Acquisition with Python, NumPy, and Matplotlib/3. Excel Files.mp4 116.4 MB
07. Jupyter Notebook/1. Jupyter and IPython.mp4 116.2 MB
21. Basic Altair Visualization/1. Installation and Basics.mp4 113.4 MB
19. Series and DataFrames in Pandas/2. DataFrames.mp4 110.3 MB
09. Creation of Arrays and Matplotlib/4. Numerical Ranges and Visualization.mp4 107.8 MB
18. Python and MySQL/6. Connect to MySQL with Python 3.mp4 102.8 MB
16. Matrices and Linear Algebra/6. Linear Algebra with SciPy.mp4 98.5 MB
18. Python and MySQL/7. Execute DDL.mp4 96.3 MB
18. Python and MySQL/8. INSERT.mp4 95.7 MB

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9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 139.4 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 138.1 MB
5. Python Exercises/2. Solutions.mp4 114.7 MB
1. Introduction/1. What is Data analysis.mp4 100.4 MB
6. Numpy/2. Numpy indexing and selection, Functions.mp4 98.2 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 95.1 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 90.5 MB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 89.6 MB
6. Numpy/1. Creating NumPy array.mp4 89.3 MB
8. Data Frame Pandas/13. sorting values.mp4 88.9 MB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4 87.5 MB
1. Introduction/2. Introduction to Pandas.mp4 82.2 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4 78.7 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4 78.6 MB
1. Introduction/3. Course FAQ.mp4 77.2 MB
8. Data Frame Pandas/1. Introduction to Data Frame.mp4 76.6 MB
14. Working with Text Data/3. More String methods.mp4 74.4 MB
8. Data Frame Pandas/8. Filtering Data with one condition.mp4 71.9 MB
11. Pandas Options/1. max_rows , max_columns.mp4 69.3 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 66.9 MB

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