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- ~Get Your Files Here !/26. Limit, alias, distinct/1. Limit, alias, distinct.mp4 49.9 MB
- ~Get Your Files Here !/16. Dealing with wrong data type/1. Wrong Datatype.mp4 47.6 MB
- ~Get Your Files Here !/28. Aggregate and Group by command/1. Aggregate and Group by command.mp4 47.3 MB
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- 6.5. Basic Plotting/23.Plot types.mp4 11.3 MB
- 8.7. Groupby/42.Solution.mp4 10.9 MB
- 9.8. Reshaping/43.Reshaping.mp4 9.9 MB
- 6.5. Basic Plotting/27.Seaborn basic plotting.mp4 9.7 MB
- 4.3. Data Input and Validation/12.Using read_csv().mp4 9.7 MB
- 2.1. Technical Setup/06.Using the Jupyter notebook.mp4 9.6 MB
- 3.2. Series and DataFrames/11.Solution.mp4 9.1 MB
- 2.1. Technical Setup/04.Installing Anaconda.mp4 9.0 MB
- 7.6. Indexing/31.Using set_index().mp4 8.3 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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- ~Get Your Files Here !/3. Pandas/9. Handling Missing Values.mp4 35.4 MB
- ~Get Your Files Here !/3. Pandas/6. DataFrame Operations.mp4 28.4 MB
- ~Get Your Files Here !/2. NumPy/18. Broadcasting.mp4 26.2 MB
- ~Get Your Files Here !/3. Pandas/13. Conditional Selection.mp4 25.7 MB
- ~Get Your Files Here !/1. Introduction/1. Introduction.mp4 22.5 MB
- ~Get Your Files Here !/3. Pandas/7. Handling Duplicates.mp4 21.2 MB
- ~Get Your Files Here !/4. Matplotlib/10. SubPlots.mp4 19.8 MB
- ~Get Your Files Here !/2. NumPy/16. String Operations.mp4 19.4 MB
- ~Get Your Files Here !/2. NumPy/7. Accessing And Slicing.mp4 19.1 MB
- ~Get Your Files Here !/3. Pandas/12. Slicing, Selecting, Extracting.mp4 18.7 MB
- ~Get Your Files Here !/4. Matplotlib/7. Histograms.mp4 18.6 MB
- ~Get Your Files Here !/4. Matplotlib/4. Bar Plots.mp4 18.6 MB
- ~Get Your Files Here !/2. NumPy/8. Initializing NumPy Array.mp4 18.6 MB
- ~Get Your Files Here !/2. NumPy/4. Space & Execution Time Test.mp4 16.3 MB
- ~Get Your Files Here !/3. Pandas/4. Series And DataFrame.mp4 15.5 MB
- ~Get Your Files Here !/2. NumPy/13. Re-Organising NumPy Arrays.mp4 14.7 MB
- ~Get Your Files Here !/3. Pandas/15. Other Useful Functions.mp4 13.6 MB
- ~Get Your Files Here !/4. Matplotlib/6. BoxPlots.mp4 13.1 MB
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