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23. Python Basics/7. Data Types Lists (Part 2).mp4 140.9 MB
11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4 136.0 MB
17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4 135.0 MB
23. Python Basics/18. Visualization with Matplotlib.mp4 130.3 MB
19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.2 MB
8. Visualization with Matplotlib/3. Customization of Plots.mp4 108.0 MB
14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4 104.3 MB
12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4 100.0 MB
25. Statistical Concepts/1. Statistics - Overview, Terms and Vocabulary.mp4 97.9 MB
10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 95.4 MB
11. Cleaning Data/5. Detection of missing Values.mp4 93.7 MB
11. Cleaning Data/10. Handling Removing Duplicates.srt 93.0 MB
11. Cleaning Data/10. Handling Removing Duplicates.mp4 93.0 MB
12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4 92.3 MB
1. Getting Started/5. Installation of Anaconda.mp4 90.5 MB
23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4 90.2 MB
19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
11. Cleaning Data/6. Removing missing values.mp4 89.6 MB
15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4 89.5 MB
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9. Python and Pandas for Data Manipulation Splitting and Stripping Text Data/52. Strip Strings.mp4 213.5 MB
15. Python and Pandas for Data Manipulation Visualization/81. Visualizing Cryptocurrencies.mp4 209.8 MB
6. Python and Pandas for Data Manipulation Filtering Data/38. Conditional Filtering.mp4 195.0 MB
10. Python and Pandas for Data Manipulation Grouping/60. The Group_by Methods.mp4 194.3 MB
18. Python and Pandas for Data Manipulation DataFrame Sorting/99. Changing data types.mp4 194.0 MB
14. Python and Pandas for Data Manipulation DataReader/76. Reading Cryptocurrency Data.mp4 188.5 MB
17. Python and Pandas for Data Manipulation DataFrame Introduction/90. DataFrame Introduction.mp4 184.8 MB
11. Python and Pandas for Data Manipulation Combining DataFrames/63. Concatenation.mp4 180.9 MB
6. Python and Pandas for Data Manipulation Filtering Data/37. Optimization.mp4 173.0 MB
10. Python and Pandas for Data Manipulation Grouping/58. Group_by Operations.mp4 170.2 MB
6. Python and Pandas for Data Manipulation Filtering Data/39. Filtering with AND and OR.mp4 167.3 MB
15. Python and Pandas for Data Manipulation Visualization/82. Customizing Visualizations.mp4 163.6 MB
1. Python and Pandas for Data Manipulation Installation and Setup/6. Challenge.mp4 163.4 MB
18. Python and Pandas for Data Manipulation DataFrame Sorting/100. Sorting values.mp4 157.6 MB
8. Python and Pandas for Data Manipulation Text Data Basics/48. Manipulating Text Data.mp4 155.6 MB
15. Python and Pandas for Data Manipulation Visualization/83. Creating Charts.mp4 154.8 MB
8. Python and Pandas for Data Manipulation Text Data Basics/49. String Methods.mp4 154.5 MB
18. Python and Pandas for Data Manipulation DataFrame Sorting/102. Ranking a Series.mp4 152.4 MB
4. Python and Pandas for Data Manipulation Series Basics/24. Extract by Label.mp4 149.9 MB
14. Python and Pandas for Data Manipulation DataReader/77. Selecting Datetime Rows.mp4 140.7 MB

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[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/13. Data Formats And IO/3. Reading HTML.mp4 108.8 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/11. Regex And Text Manipulation/19. Is This A Valid Email.mp4 84.0 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4 80.0 MB
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[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4 77.6 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4 76.8 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/11. Regex And Text Manipulation/23. Solution.mp4 75.9 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4 74.8 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4 73.3 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4 71.8 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4 71.7 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/5. DataFrames In Depth/31. Same-shape Transforms.mp4 70.2 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/4. Working With DataFrames/22. Part I Collecting The Units.mp4 70.1 MB
[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4 69.5 MB
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[TutsNode.com] - The Ultimate Pandas Bootcamp Advanced Python Data Analysis/12. Visualizing Data/9. Other Visualization Options.mp4 66.7 MB
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19. Appendix 1 Python Crash Course (optional)/7. Data Types Lists (Part 2).mp4 140.9 MB
19. Appendix 1 Python Crash Course (optional)/17. Visualization with Matplotlib.mp4 130.3 MB
8. Time Series Data in Pandas Introduction/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.3 MB
3. Pandas Basics/5. Coding Exercise 0 Coding the Video Lectures.mp4 118.9 MB
5. Data Visualization with Matplotlib and Seaborn/3. Customization of Plots.mp4 108.1 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/21. Coding Exercise 13 (Solution).mp4 101.3 MB
3. Pandas Basics/17. Slicing Rows and Columns with loc (label-based indexing).mp4 95.9 MB
12. Create, Analyze and Optimize Financial Portfolios/12. Coding Exercise 15 (Solution).mp4 92.8 MB
6. Pandas Advanced Topics/8. Adding new Rows to a DataFrame.mp4 92.3 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/4. The Portfolio Diversification Effect.mp4 90.7 MB
1. Getting Started/5. Installation of Anaconda.mp4 90.4 MB
19. Appendix 1 Python Crash Course (optional)/10. Conditional Statements (if, elif, else, while).mp4 90.2 MB
8. Time Series Data in Pandas Introduction/9. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
5. Data Visualization with Matplotlib and Seaborn/8. Categorical Seaborn Plots.mp4 89.3 MB
20. Appendix 2 Numpy Crash Course (optional)/11. Visualization and (Linear) Regression.mp4 88.6 MB
4. Pandas Intermediate Topics/35. Coding Exercise 6 (Solution).mp4 88.0 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/2. Importing Financial Data from Excel.mp4 84.6 MB
5. Data Visualization with Matplotlib and Seaborn/9. Seaborn Regression Plots.mp4 83.3 MB
6. Pandas Advanced Topics/18. stack() and unstack().mp4 82.6 MB
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19. Appendix 1 Python Crash Course (optional)/7. Data Types Lists (Part 2).mp4 140.9 MB
19. Appendix 1 Python Crash Course (optional)/17. Visualization with Matplotlib.mp4 130.3 MB
8. Time Series Data in Pandas Introduction/5. Creating a customized DatetimeIndex with pd.date_range().mp4 120.3 MB
3. Pandas Basics/5. Coding Exercise 0 Coding the Video Lectures.mp4 118.9 MB
5. Data Visualization with Matplotlib and Seaborn/3. Customization of Plots.mp4 108.1 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/21. Coding Exercise 13 (Solution).mp4 101.3 MB
3. Pandas Basics/17. Slicing Rows and Columns with loc (label-based indexing).mp4 95.9 MB
12. Create, Analyze and Optimize Financial Portfolios/12. Coding Exercise 15 (Solution).mp4 92.8 MB
6. Pandas Advanced Topics/8. Adding new Rows to a DataFrame.mp4 92.3 MB
13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/4. The Portfolio Diversification Effect.mp4 90.7 MB
1. Getting Started/5. Installation of Anaconda.mp4 90.4 MB
19. Appendix 1 Python Crash Course (optional)/10. Conditional Statements (if, elif, else, while).mp4 90.2 MB
8. Time Series Data in Pandas Introduction/9. Downsampling Time Series with resample() (Part 1).mp4 89.7 MB
5. Data Visualization with Matplotlib and Seaborn/8. Categorical Seaborn Plots.mp4 89.3 MB
20. Appendix 2 Numpy Crash Course (optional)/11. Visualization and (Linear) Regression.mp4 88.6 MB
4. Pandas Intermediate Topics/35. Coding Exercise 6 (Solution).mp4 88.0 MB
10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/2. Importing Financial Data from Excel.mp4 84.6 MB
5. Data Visualization with Matplotlib and Seaborn/9. Seaborn Regression Plots.mp4 83.3 MB
6. Pandas Advanced Topics/18. stack() and unstack().mp4 82.6 MB
17. ---------- PART 4 ADVANCED TOPICS ----------------/2. Filling NA Values with bfill, ffill and interpolation.mp4 82.3 MB

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13. Data Formats And IO/3. Reading HTML.mp4 108.8 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4 84.0 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4 80.0 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4 78.7 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4 77.6 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4 76.8 MB
11. Regex And Text Manipulation/23. Solution.mp4 75.9 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4 74.8 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4 73.3 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4 71.8 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4 71.7 MB
5. DataFrames In Depth/31. Same-shape Transforms.mp4 70.2 MB
4. Working With DataFrames/22. Part I Collecting The Units.mp4 70.1 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4 69.5 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4 68.4 MB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4 68.3 MB
12. Visualizing Data/9. Other Visualization Options.mp4 66.7 MB
11. Regex And Text Manipulation/18. How To Approach Regex.mp4 66.6 MB
12. Visualizing Data/8. Scatter Plots.mp4 66.5 MB
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13. Data Formats And IO/3. Reading HTML.mp4 108.8 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4 84.0 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4 80.0 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4 78.7 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4 77.6 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4 76.8 MB
11. Regex And Text Manipulation/23. Solution.mp4 75.9 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4 74.8 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4 73.3 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4 71.8 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4 71.7 MB
5. DataFrames In Depth/31. Same-shape Transforms.mp4 70.2 MB
4. Working With DataFrames/22. Part I Collecting The Units.mp4 70.1 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4 69.5 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4 68.4 MB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4 68.3 MB
12. Visualizing Data/9. Other Visualization Options.mp4 66.7 MB
11. Regex And Text Manipulation/18. How To Approach Regex.mp4 66.6 MB
12. Visualizing Data/8. Scatter Plots.mp4 66.5 MB
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13. Data Formats And IO/3. Reading HTML.mp4 108.8 MB
11. Regex And Text Manipulation/19. Is This A Valid Email.mp4 84.0 MB
11. Regex And Text Manipulation/21. Pandas str contains(), split() And replace() With Regex.mp4 80.0 MB
11. Regex And Text Manipulation/16. Introduction To Regular Expressions.mp4 78.7 MB
13. Data Formats And IO/5. Creating Output The to_ Family Of Methods.mp4 77.6 MB
4. Working With DataFrames/4. BONUS - Four More Ways To Build DataFrames.mp4 76.8 MB
11. Regex And Text Manipulation/23. Solution.mp4 75.9 MB
15. Appendix B - Going Local Installation And Setup/1. Installing Anaconda And Python - Windows.mp4 74.8 MB
3. Series Methods And Handling/28. Transforming With update(), apply() And map().mp4 73.3 MB
5. DataFrames In Depth/33. Element-wise Operations With applymap().mp4 71.8 MB
5. DataFrames In Depth/4. More Approaches To Boolean Masking.mp4 71.7 MB
5. DataFrames In Depth/31. Same-shape Transforms.mp4 70.2 MB
4. Working With DataFrames/22. Part I Collecting The Units.mp4 70.1 MB
11. Regex And Text Manipulation/14. BONUS Parsing Indicators With get_dummies().mp4 69.5 MB
5. DataFrames In Depth/14. Sorting vs. Reordering.mp4 68.4 MB
11. Regex And Text Manipulation/17. More Regex Concepts.mp4 68.3 MB
12. Visualizing Data/9. Other Visualization Options.mp4 66.7 MB
11. Regex And Text Manipulation/18. How To Approach Regex.mp4 66.6 MB
12. Visualizing Data/8. Scatter Plots.mp4 66.5 MB
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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
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