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文档列表

4. Azure Data Lake/14. Example on Pivot Table.mp4 92.3 MB
3. Data Analysis/22. Concept of Dummy Coding.mp4 86.5 MB
3. Data Analysis/23. Creating Dummified Values.mp4 86.4 MB
4. Azure Data Lake/7. Stacking and Unstacking.mp4 84.7 MB
4. Azure Data Lake/11. More Options with Crosstab.mp4 84.0 MB
2. Data Set/6. Column Names and Operation.mp4 82.5 MB
3. Data Analysis/15. Functions of iX Method.mp4 74.4 MB
4. Azure Data Lake/2. Merging Data Frames.mp4 73.8 MB
3. Data Analysis/18. Reducing the Space.mp4 73.3 MB
3. Data Analysis/25. Functions for Date and Time.mp4 72.2 MB
4. Azure Data Lake/6. Working with Interpolate Method.mp4 71.2 MB
4. Azure Data Lake/10. More on Crosstab.mp4 70.9 MB
4. Azure Data Lake/13. Pivot Table Method.mp4 65.6 MB
3. Data Analysis/25. Functions for Date and Time.vtt 65.5 MB
4. Azure Data Lake/5. Importing Time Series Data.mp4 62.6 MB
2. Data Set/2. Reading the Data Set.mp4 61.9 MB
2. Data Set/9. Filtering Data.mp4 61.8 MB
4. Azure Data Lake/16. Using Excel Functions.mp4 61.6 MB
4. Azure Data Lake/15. Data Frame to CSV File.mp4 60.1 MB
4. Azure Data Lake/3. Shaping a Data Frame.mp4 57.5 MB
3. Data Analysis/29. Formatting the Data.vtt 55.6 MB
3. Data Analysis/29. Formatting the Data.mp4 55.6 MB
3. Data Analysis/13. Column in Index.mp4 54.8 MB
3. Data Analysis/1. Filter Multiple Criteria.mp4 53.4 MB
4. Azure Data Lake/9. Concept of Crosstab.mp4 52.9 MB
3. Data Analysis/12. Uses of Index.mp4 51.6 MB
3. Data Analysis/24. Duplicates in Data Frame.mp4 51.0 MB
3. Data Analysis/14. Output of Data.mp4 50.2 MB
4. Azure Data Lake/1. Introduction to Azure Data Lake.mp4 49.7 MB
2. Data Set/5. More on Panda Functions.mp4 49.5 MB
3. Data Analysis/31. Data with Rows and Columns.mp4 43.1 MB
3. Data Analysis/30. Tricks for Display Options.mp4 41.8 MB
3. Data Analysis/28. Changing the Display Option.mp4 41.6 MB
3. Data Analysis/28. Changing the Display Option.vtt 41.6 MB
3. Data Analysis/26. Setting with Copy Warning.mp4 39.5 MB
1. Introduction/1. Introduction to Pandas with Python.mp4 38.9 MB
3. Data Analysis/11. Dealing with Null Values.mp4 37.3 MB
3. Data Analysis/27. Example on Copy Warning.vtt 37.1 MB
3. Data Analysis/27. Example on Copy Warning.mp4 37.1 MB
3. Data Analysis/16. InPlace Parameter.mp4 36.1 MB
4. Azure Data Lake/8. Stacking and Unstacking for 3 Levels.mp4 35.4 MB
3. Data Analysis/20. Creating Manual Data Frame.mp4 34.2 MB
3. Data Analysis/20. Creating Manual Data Frame.vtt 34.2 MB
3. Data Analysis/30. Tricks for Display Options.vtt 33.2 MB
3. Data Analysis/6. Changing the Data Types.mp4 33.0 MB
3. Data Analysis/17. Inspecting the Space.mp4 33.0 MB
3. Data Analysis/21. Random Sampling with Pandas.mp4 32.9 MB
3. Data Analysis/8. Group by Functions.mp4 32.5 MB
3. Data Analysis/9. Functions on Series.mp4 32.3 MB
4. Azure Data Lake/12. Functions of Pivot.mp4 31.4 MB
2. Data Set/8. Sorting Data Frame.mp4 30.7 MB
3. Data Analysis/5. String Methods in Pandas.mp4 30.3 MB
3. Data Analysis/4. Axis Parameter.mp4 30.3 MB
3. Data Analysis/19. Using in Country Series.mp4 29.3 MB
3. Data Analysis/7. Example of Data Type Change.mp4 28.9 MB
2. Data Set/4. Operations in Data Set.mp4 26.7 MB
4. Azure Data Lake/4. Filling NA Values.mp4 25.9 MB
3. Data Analysis/10. Plotting series in Pandas.mp4 23.5 MB
2. Data Set/7. Removing Columns and Rows.mp4 22.5 MB
2. Data Set/1. Understanding Jupiter Environment.mp4 22.0 MB
2. Data Set/3. Series and Data Frame.mp4 21.7 MB
3. Data Analysis/32. Converting Data Frame.mp4 19.3 MB
3. Data Analysis/2. Selective Columns and Rows.mp4 18.7 MB
3. Data Analysis/24. Duplicates in Data Frame.vtt 18.1 MB
3. Data Analysis/3. Data Frame and Series.mp4 11.7 MB
5. Summary/1. Summary on Pandas.mp4 9.5 MB
5. Summary/1. Summary on Pandas.vtt 9.5 MB
3. Data Analysis/22. Concept of Dummy Coding.vtt 12.0 kB
3. Data Analysis/23. Creating Dummified Values.vtt 12.0 kB
3. Data Analysis/18. Reducing the Space.vtt 10.5 kB
3. Data Analysis/15. Functions of iX Method.vtt 9.7 kB
2. Data Set/6. Column Names and Operation.vtt 9.6 kB
4. Azure Data Lake/14. Example on Pivot Table.vtt 9.6 kB
4. Azure Data Lake/6. Working with Interpolate Method.vtt 9.6 kB
2. Data Set/2. Reading the Data Set.vtt 9.3 kB
4. Azure Data Lake/11. More Options with Crosstab.vtt 9.2 kB
4. Azure Data Lake/7. Stacking and Unstacking.vtt 9.1 kB
4. Azure Data Lake/9. Concept of Crosstab.vtt 8.9 kB
3. Data Analysis/14. Output of Data.vtt 8.5 kB
4. Azure Data Lake/10. More on Crosstab.vtt 8.1 kB
4. Azure Data Lake/2. Merging Data Frames.vtt 8.0 kB
3. Data Analysis/31. Data with Rows and Columns.vtt 8.0 kB
2. Data Set/9. Filtering Data.vtt 7.8 kB
4. Azure Data Lake/5. Importing Time Series Data.vtt 7.7 kB
4. Azure Data Lake/16. Using Excel Functions.vtt 7.7 kB
4. Azure Data Lake/3. Shaping a Data Frame.vtt 7.3 kB
2. Data Set/5. More on Panda Functions.vtt 7.0 kB
3. Data Analysis/13. Column in Index.vtt 6.9 kB
4. Azure Data Lake/1. Introduction to Azure Data Lake.vtt 6.4 kB
3. Data Analysis/12. Uses of Index.vtt 6.4 kB
4. Azure Data Lake/15. Data Frame to CSV File.vtt 6.4 kB
4. Azure Data Lake/13. Pivot Table Method.vtt 6.4 kB
3. Data Analysis/1. Filter Multiple Criteria.vtt 5.9 kB
1. Introduction/1. Introduction to Pandas with Python.vtt 5.5 kB
3. Data Analysis/26. Setting with Copy Warning.vtt 5.3 kB
3. Data Analysis/17. Inspecting the Space.vtt 5.2 kB
3. Data Analysis/11. Dealing with Null Values.vtt 5.2 kB
3. Data Analysis/7. Example of Data Type Change.vtt 4.9 kB
3. Data Analysis/9. Functions on Series.vtt 4.7 kB
3. Data Analysis/16. InPlace Parameter.vtt 4.6 kB
3. Data Analysis/8. Group by Functions.vtt 4.5 kB
2. Data Set/1. Understanding Jupiter Environment.vtt 4.3 kB
3. Data Analysis/6. Changing the Data Types.vtt 4.3 kB
3. Data Analysis/19. Using in Country Series.vtt 4.1 kB
2. Data Set/4. Operations in Data Set.vtt 4.1 kB
3. Data Analysis/5. String Methods in Pandas.vtt 4.1 kB
3. Data Analysis/32. Converting Data Frame.vtt 4.0 kB
3. Data Analysis/10. Plotting series in Pandas.vtt 3.9 kB
3. Data Analysis/21. Random Sampling with Pandas.vtt 3.8 kB
4. Azure Data Lake/8. Stacking and Unstacking for 3 Levels.vtt 3.7 kB
4. Azure Data Lake/12. Functions of Pivot.vtt 3.7 kB
2. Data Set/3. Series and Data Frame.vtt 3.7 kB
3. Data Analysis/2. Selective Columns and Rows.vtt 3.3 kB
3. Data Analysis/4. Axis Parameter.vtt 3.2 kB
2. Data Set/7. Removing Columns and Rows.vtt 2.9 kB
2. Data Set/8. Sorting Data Frame.vtt 2.9 kB
4. Azure Data Lake/4. Filling NA Values.vtt 2.7 kB
3. Data Analysis/3. Data Frame and Series.vtt 2.3 kB
[FCS Forum].url 133 Bytes
[FreeCourseSite.com].url 127 Bytes
[CourseClub.NET].url 123 Bytes

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