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- 【影视】 [FreeCoursesOnline.Me] Udacity - Data Analyst Nanodegree v1.0.0
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Part 12-Module 01-Lesson 05_Interview Practice/06. Design a Spam Classifier-qRv1wrtgsmM.mp4 118.9 MB
Part 12-Module 01-Lesson 05_Interview Practice/05. Maximum Difference in an Integer Array-i3RTW83wI1Q.mp4 112.4 MB
Part 12-Module 02-Lesson 08_Technical Interview - Python/07. Coding-zhQYREUI8Z0.mp4 110.1 MB
Part 12-Module 02-Lesson 08_Technical Interview - Python/08. Coding 2-qEteyPNRSwU.mp4 109.7 MB
Part 11-Module 01-Lesson 06_Datasets and Questions/01. Introduction-TdopVWltgqM.mp4 92.2 MB
Part 06-Module 01-Lesson 03_Analyzing Data/19. Geospatial Indexes-iGnSNfzaLf4.mp4 71.2 MB
Part 06-Module 01-Lesson 03_Analyzing Data/11. Unwind Operator-6wBjB3Ca5H4.mp4 61.3 MB
Part 12-Module 01-Lesson 05_Interview Practice/03. Free Throw Probability-Zyq0FQ0XO3o.mp4 59.4 MB
Part 14-Module 01-Lesson 05_Analyzing Results/09. Single Metric Example-LCZG4wlEFXE.mp4 56.3 MB
Part 14-Module 01-Lesson 03_Choosing and Characterizing Metrics/29. Lessons Learned-_dnp6ItYOdA.mp4 55.4 MB
Part 13-Module 01-Lesson 08_Animation and Interaction/49. The Future of Data Visualizations--CWbVBYBYWU.mp4 55.2 MB
Part 12-Module 01-Lesson 05_Interview Practice/04. Query a SQL database-UVSFLWdAKl4.mp4 53.6 MB
Part 13-Module 01-Lesson 03_Problem Set Visualization Fundamentals/01. Data Visualization Resources-OYl-saB2vWE.mp4 52.9 MB
Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/15. JSON Playground-la_rboWWjQI.mp4 52.4 MB
Part 12-Module 01-Lesson 03_Interview Fails/04. Interviewing Fails Lyla Fujiwara-CgK2HxdJzc8.mp4 52.2 MB
Part 09-Module 01-Lesson 07_Explore Many Variables/16. Sean's NFL Fan Sentiment Study-ahaxt6UKxQw.mp4 52.0 MB
Part 14-Module 01-Lesson 05_Analyzing Results/16. Analyzing Multiple Metrics-mbHnQ_EdrZ8.mp4 52.0 MB
Part 04-Module 03-Lesson 01_Investigate a Dataset/05. Investigate A Dataset Project Walkthrough Final-OtDZCYxbHB4.mp4 51.8 MB
Part 14-Module 01-Lesson 04_Designing an Experiment/23. Learning Effects-nFpIDWPUDm8.mp4 51.4 MB
Part 05-Module 01-Lesson 01_Data Extraction Fundamentals/09. Using CSV Module--S4vc6tvxoI.mp4 51.2 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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- 【影视】 GetFreeCourses.Me-Udemy-Python for Data Science and Machine Learning Bootcamp
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25. Neural Nets and Deep Learning/30. Tensorboard.mp4 151.2 MB
25. Neural Nets and Deep Learning/23. Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25. Neural Nets and Deep Learning/15. TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25. Neural Nets and Deep Learning/26. Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25. Neural Nets and Deep Learning/20. TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25. Neural Nets and Deep Learning/24. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
25. Neural Nets and Deep Learning/25. Keras Project Solutions - Categorical Data.mp4 89.5 MB
25. Neural Nets and Deep Learning/13. TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14. Introduction to Machine Learning/4. Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25. Neural Nets and Deep Learning/22. TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
2. Environment Set-Up/1. Python Environment Setup.mp4 80.1 MB
25. Neural Nets and Deep Learning/16. TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25. Neural Nets and Deep Learning/9. Cost Functions and Gradient Descent.mp4 79.7 MB
25. Neural Nets and Deep Learning/18. TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25. Neural Nets and Deep Learning/14. TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25. Neural Nets and Deep Learning/29. Keras Project Solutions - Model Evaluation.mp4 66.2 MB
26. Big Data and Spark with Python/7. EC2 Instance Set-Up.mp4 66.0 MB
25. Neural Nets and Deep Learning/7. Activation Functions.mp4 65.6 MB
26. Big Data and Spark with Python/9. PySpark Setup.mp4 63.3 MB
25. Neural Nets and Deep Learning/10. Backpropagation.mp4 60.8 MB
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- 【影视】 [Tutorialsplanet.NET] Udemy - Build a Data Analysis Library from Scratch in Python
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4. DataFrame Construction/1. Check DataFrame Constructor Input Types.mp4 397.7 MB
1. Project Genesis/2. Pandas Cub Examples.mp4 266.1 MB
2. Environment Setup/4. Installing an IPython Kernel for Jupyter.mp4 255.5 MB
9. Other Methods and Operators/6. Arithmetic and Comparison Operators.mp4 216.2 MB
6. Subset Selection/10. Create a New Column.mp4 195.7 MB
11. Documentation, Strings, and Reading CSVs/2. String-only Methods.mp4 172.9 MB
2. Environment Setup/2. Setting up the Development Environment.mp4 165.2 MB
3. Getting Ready to Code/3. Manually Test in a Jupyter Notebook.mp4 156.9 MB
10. Pivot Tables/1. Pivot Tables Part 1.mp4 154.2 MB
1. Project Genesis/1. Project Overview.mp4 152.9 MB
4. DataFrame Construction/3. Convert Unicode Arrays to Object.mp4 149.3 MB
9. Other Methods and Operators/3. Non-Aggregation Methods.mp4 147.7 MB
2. Environment Setup/3. Test-Driven Development.mp4 146.7 MB
9. Other Methods and Operators/8. The sample Method.mp4 137.9 MB
5. Basic Properties and Visual Representation/5. Visual Notebook Representation.mp4 137.3 MB
6. Subset Selection/6. Select Rows as Booleans, Lists, or Slices.mp4 134.0 MB
5. Basic Properties and Visual Representation/3. Set New Column Names.mp4 133.5 MB
9. Other Methods and Operators/7. The sort_values Method.mp4 129.0 MB
5. Basic Properties and Visual Representation/7. The dtypes Property.mp4 120.3 MB
6. Subset Selection/5. Select a Single Cell.mp4 120.2 MB
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- 【影视】 Applied Data Science with Python
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[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/03_small-world-networks.mp4 55.6 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/04_link-prediction.mp4 44.2 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/03_module-3-evaluation/01_module-3-evaluation/01_model-evaluation-selection.mp4 33.3 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/05_support-vector-machines.mp4 32.9 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/06_linear-regression-ridge-lasso-and-polynomial-regression.mp4 30.7 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/04_network-evolution/01_module-4-applications/01_preferential-attachment-model.mp4 30.7 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/12_decision-trees.mp4 28.8 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/04_module-4-supervised-machine-learning-part-2/01_module-4-supervised-machine-learning-part-2/04_neural-networks.mp4 28.4 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/09_k-nearest-neighbors-classification.mp4 28.2 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/04_module-4-topic-modeling/01_module-4-topic-modeling/05_information-extraction.mp4 28.0 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/10_kernelized-support-vector-machines.mp4 28.0 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/02_betweenness-centrality.mp4 27.7 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/03_module-3-classification-of-text/01_module-3-classification-of-text/03_naive-bayes-classifiers.mp4 27.7 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/03_influence-measures-and-network-centralization/01_module-3-influence-measures-and-network-centralization/05_hubs-and-authorities.mp4 27.5 MB
[TutsNode.com] - Applied Data Science with Python/python-social-network-analysis/02_network-connectivity/01_module-2-network-connectivity/02_distance-measures.mp4 27.3 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/01_introduction-to-supervised-machine-learning.mp4 26.2 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/02_module-2-supervised-machine-learning-part-1/01_module-2-supervised-machine-learning/05_linear-regression-least-squares.mp4 25.1 MB
[TutsNode.com] - Applied Data Science with Python/python-machine-learning/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/01_module-1-fundamentals-of-machine-learning-intro-to-scikit-learn/04_key-concepts-in-machine-learning.mp4 25.0 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/02_module-2-basic-natural-language-processing/01_module-2-basic-natural-language-processing/02_basic-nlp-tasks-with-nltk.mp4 24.6 MB
[TutsNode.com] - Applied Data Science with Python/python-text-mining/01_module-1-working-with-text-in-python/01_module-1-working-with-text-in-python/04_handling-text-in-python.mp4 24.5 MB
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- 【影视】 [FreeCourseLab.com] Udemy - Master SQL For Data Science
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Lesson 37. Working with Rollups and Cubes.mp4 117.4 MB
Lesson 35. RANK, FIRST_VALUE and NTILE Functions.mp4 116.7 MB
Lesson 32. Creating Views vs. Inline Views.mp4 84.3 MB
Lesson 4. Install Postgres on Windows.mp4 75.1 MB
Lesson 36. LEAD and LAG Functions.mp4 66.2 MB
Lesson 1. Course Overview.mp4 55.4 MB
Lesson 5. Create Table and Insert Statements.mp4 45.3 MB
Lesson 28. INNER and OUTER Joins + [EXERCISES].mp4 42.6 MB
Lesson 8. Filter Data Using the WHERE Clause + AND & OR.mp4 42.4 MB
Lesson 6. Prepare the Database.mp4 41.9 MB
Lesson 34. Ordering Data in Window Frames.mp4 36.5 MB
Lesson 23. Conditional Expressions Using CASE Clause + [EXERCISES].mp4 34.7 MB
Lesson 21. Subqueries with ANY and ALL Operators + [EXERCISES].mp4 34.6 MB
Lesson 7. Introducing the SELECT Statement.mp4 34.4 MB
Lesson 25. Understanding Correlated Subqueries.mp4 33.6 MB
Lesson 24. Transposing Data using the CASE Clause + [EXERCISES].mp4 31.7 MB
Lesson 9. Filtering Operators - IN, NOT IN, IS NULL, BETWEEN.mp4 31.6 MB
Lesson 33. Window Functions using the OVER() Clause.mp4 31.3 MB
Lesson 20. Subqueries Continued + [EXERCISES].mp4 31.2 MB
Lesson 31. [EXERCISES] Joins and Subqueries Continued.mp4 28.7 MB
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Lesson 48. Implementation of O(n^2Logn) and O(n^2Logk) Solutions.mp4 48.9 MB
Lesson 25. Implementation of O(n^2) Solution.mp4 40.5 MB
Lesson 19. Recursive Algorithm Solution That runs in O(n^2) Time.mp4 33.7 MB
Lesson 15. Optimizing further and reaching O(n) Solution.mp4 29.6 MB
Lesson 47. Idea of O(n^2Logn) Naive Solution and O(n^2logk) Optimized Solution using Heap.mp4 28.3 MB
Lesson 24. Naive O(n^2) Solution with additional boolean array.mp4 26.4 MB
Lesson 5. Implementing the O(nlogn) Solution.mp4 26.0 MB
Lesson 31. Optimizing Using Hashmaps to get O(n) Solution on average.mp4 25.7 MB
Lesson 26. Optimizing on the last algorithm to an O(n) Solution.mp4 23.9 MB
Lesson 44. O(nlogk) Optimized Solution Using a Heap.mp4 23.8 MB
Lesson 35. O(n^2) Solution idea for Valid anagram.mp4 23.2 MB
Lesson 40. O(n) Solution Implementation.mp4 21.3 MB
Lesson 4. Optimizing Further for O(nlogn) Solution.mp4 20.8 MB
Lesson 36. O(n^2) Solution Implementation.mp4 20.5 MB
Lesson 16. Implementation of O(n) Solution.mp4 19.2 MB
Lesson 9. O(n) Solution idea and optimizations.mp4 18.3 MB
Lesson 13. O(nlogn) Improved Solution.mp4 16.9 MB
Lesson 50. O(n) Recursive Solution Idea.mp4 16.7 MB
Lesson 29. Bruteforce Algorithm Idea O(nk) Solution.mp4 16.4 MB
Lesson 27. Implementation of O(n) Solution.mp4 16.2 MB
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- 【影视】 Excel Data Analysis - Data Science Masterclass for Beginners
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文档个数:112
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[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/6. 06. Scrollable Line Chart/2. 6.2 Prepare Data for Scrolling Chart.mp4 152.0 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/4. 04. Scrolling Data Table/3. Complex Lookup.mp4 125.2 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/4. 04. Scrolling Data Table/2. Build a Combo Box.mp4 108.2 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/7. 07. Interactivity/2. 7.2 Add Interactivity to Reports with Pivot Slicers.mp4 101.3 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/6. 06. Scrollable Line Chart/3. 6.3 Scrollable Line Chart.mp4 98.9 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/3. 03. Build a Dashboard Project/4. Prepare Calculation sheet.mp4 95.4 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/9. 09. Course Summary/1. 9.1 Course Summary and Next Steps.mp4 90.6 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/4. 04. Scrolling Data Table/6. Conditional Headers.mp4 89.6 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/4. 04. Scrolling Data Table/4. Build a Scrolling Data Table.mp4 88.4 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/5. 05. Show Top Indicators/4. 5.4 Toggle Between Top Over or Under.mp4 88.3 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/4. 04. Scrolling Data Table/5. Conditionally Format Actual Values vs Budgeted Values.mp4 81.8 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/6. 06. Scrollable Line Chart/5. 6.5 Toggle Visibility of Line Series.mp4 81.8 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/7. 07. Interactivity/6. 7.6 Dynamic Comments with SLicers.mp4 74.6 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/8. 08. Finetune the Dashboard/3. 8.3 Conditional Formatting in Pivot Tables.mp4 71.7 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/5. 05. Show Top Indicators/2. 5.2 Show Top Matches Over and Under Budget.mp4 71.5 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/1. 01. Introduction to the Course/1. Introduction To The Course.mp4 69.7 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/8. 08. Finetune the Dashboard/4. 8.4 Refresh Pivot Table with Easy VBA.mp4 62.6 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/3. 03. Build a Dashboard Project/3. Prepare Raw Data for Dashboard.mp4 57.8 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/6. 06. Scrollable Line Chart/6. 6.6 Finetune the Line Series.mp4 55.7 MB
[TutsNode.com] - Excel Data Analysis - Data Science Masterclass for Beginners/6. 06. Scrollable Line Chart/7. 6.7 Section Summary.mp4 54.0 MB
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[TutsNode.com] - Data Science A-Z Bootcamp/20. Excel Basic Formulas-I/2. Excel Basic Formulas-I Part-2.mp4 574.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/25. Excel Tables/2. Tables in Excel Part-2.mp4 191.9 MB
[TutsNode.com] - Data Science A-Z Bootcamp/11. Data Manipulation in R/2. Data Manipulation in R Part-2.mp4 167.1 MB
[TutsNode.com] - Data Science A-Z Bootcamp/12. Summarising the Data Graphically/2. Basic Graphs Part-2.mp4 155.8 MB
[TutsNode.com] - Data Science A-Z Bootcamp/25. Excel Tables/1. Tables in Excel Part-1.mp4 154.2 MB
[TutsNode.com] - Data Science A-Z Bootcamp/20. Excel Basic Formulas-I/6. Excel Basic Formulas-I Part-6.mp4 146.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/64. Tableau Module 12/3. Create Interactive Dashboards Part-3.mp4 134.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/53. Tableau Module 1/3. Data Visualization Process.mp4 134.3 MB
[TutsNode.com] - Data Science A-Z Bootcamp/23. Microsoft Excel Pivot Tables/2. Microsoft Excel Pivot Tables Part-2.mp4 129.1 MB
[TutsNode.com] - Data Science A-Z Bootcamp/22. Microsoft Excel Advanced Formulas-I/3. Microsoft Excel Advanced Formulas-I Part-3.mp4 127.1 MB
[TutsNode.com] - Data Science A-Z Bootcamp/22. Microsoft Excel Advanced Formulas-I/2. Microsoft Excel Advanced Formulas-I Part-2.mp4 124.9 MB
[TutsNode.com] - Data Science A-Z Bootcamp/27. Conditional Formatting/2. Conditional Formatting In Excel Part-2.mp4 122.8 MB
[TutsNode.com] - Data Science A-Z Bootcamp/23. Microsoft Excel Pivot Tables/1. Microsoft Excel Pivot Tables Part-1.mp4 122.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/15. Multi-Linear Regression/2. Multi-Linear Regression in R Part-2.mp4 121.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/7. Subsetting Data in R/2. Subset Command.mp4 120.5 MB
[TutsNode.com] - Data Science A-Z Bootcamp/22. Microsoft Excel Advanced Formulas-I/1. Microsoft Excel Advanced Formulas-I Part-1.mp4 117.4 MB
[TutsNode.com] - Data Science A-Z Bootcamp/16. Logistic Regression/1. Logistic Regression in R.mp4 116.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/16. Logistic Regression/2. Logistic Regression Model.mp4 114.2 MB
[TutsNode.com] - Data Science A-Z Bootcamp/21. Sum & Sumif/1. Sum & Sumif Part-1.mp4 112.0 MB
[TutsNode.com] - Data Science A-Z Bootcamp/75. Tableau Module 23/3. Analytics tab in Tableau Part-3.mp4 111.1 MB
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- 【影视】 Pluralsight.com - Combining and Filtering Data with MariaDB (2019 ENG)
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05. Limiting Results with Windowing Functions/05_04. Demo - Ranking Window Function.mp4 48.0 MB
03. Using Common Table Expressions for Efficiency/03_04. Demo - Recursive CTE.mp4 36.1 MB
02. Manipulating String and Numeric Column Fields/02_03. Demo - Manipulating String Data.mp4 34.2 MB
04. Combining Data from Two or More Tables using Joins/04_04. Demo - Inner Join.mp4 32.3 MB
05. Limiting Results with Windowing Functions/05_05. Demo - Value Window Function.mp4 30.3 MB
05. Limiting Results with Windowing Functions/05_06. Demo - Aggregate Window Function.mp4 28.4 MB
01. Aggregating Results with GROUP BY/01_05. Demo - Common Aggregate Functions - Sum, Min, Max, Count.mp4 23.9 MB
02. Manipulating String and Numeric Column Fields/02_04. Demo - Manipulating Numeric Data.mp4 23.4 MB
01. Aggregating Results with GROUP BY/01_04. Demo - Common Aggregate Functions - Avg.mp4 23.0 MB
03. Using Common Table Expressions for Efficiency/03_03. Demo - Non-recursive CTE.mp4 22.7 MB
04. Combining Data from Two or More Tables using Joins/04_07. Demo - Outer Join.mp4 21.6 MB
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25. Combining SQL and Tableau - Task 5/1. Task 5 Organizing Charts 1-4 into a Beautiful Dashboard using Tableau.mp4 58.7 MB
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18. Stored routines/16. User-defined functions in MySQL.mp4 51.1 MB
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