| 19. Appendix 1 Python Crash Course (optional)/7. Data Types Lists (Part 2).mp4 | 134.38 MB |
| 19. Appendix 1 Python Crash Course (optional)/17. Visualization with Matplotlib.mp4 | 124.27 MB |
| 8. Time Series Data in Pandas Introduction/5. Creating a customized DatetimeIndex with pd.date_range().mp4 | 114.71 MB |
| 3. Pandas Basics/5. Coding Exercise 0 Coding the Video Lectures.mp4 | 113.37 MB |
| 5. Data Visualization with Matplotlib and Seaborn/3. Customization of Plots.mp4 | 103.1 MB |
| 10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/21. Coding Exercise 13 (Solution).mp4 | 96.57 MB |
| 3. Pandas Basics/17. Slicing Rows and Columns with loc (label-based indexing).mp4 | 91.41 MB |
| 12. Create, Analyze and Optimize Financial Portfolios/12. Coding Exercise 15 (Solution).mp4 | 88.5 MB |
| 6. Pandas Advanced Topics/8. Adding new Rows to a DataFrame.mp4 | 88.04 MB |
| 13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/4. The Portfolio Diversification Effect.mp4 | 86.5 MB |
| 1. Getting Started/5. Installation of Anaconda.mp4 | 86.21 MB |
| 19. Appendix 1 Python Crash Course (optional)/10. Conditional Statements (if, elif, else, while).mp4 | 86.02 MB |
| 8. Time Series Data in Pandas Introduction/9. Downsampling Time Series with resample() (Part 1).mp4 | 85.52 MB |
| 5. Data Visualization with Matplotlib and Seaborn/8. Categorical Seaborn Plots.mp4 | 85.2 MB |
| 20. Appendix 2 Numpy Crash Course (optional)/11. Visualization and (Linear) Regression.mp4 | 84.47 MB |
| 4. Pandas Intermediate Topics/35. Coding Exercise 6 (Solution).mp4 | 83.91 MB |
| 10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/2. Importing Financial Data from Excel.mp4 | 80.67 MB |
| 5. Data Visualization with Matplotlib and Seaborn/9. Seaborn Regression Plots.mp4 | 79.41 MB |
| 6. Pandas Advanced Topics/18. stack() and unstack().mp4 | 78.77 MB |
| 17. ---------- PART 4 ADVANCED TOPICS ----------------/2. Filling NA Values with bfill, ffill and interpolation.mp4 | 78.47 MB |
| 19. Appendix 1 Python Crash Course (optional)/5. Data Types Strings.mp4 | 77.74 MB |
| 4. Pandas Intermediate Topics/5. EXCURSUS Updating Pandas Anaconda.mp4 | 77.1 MB |
| 4. Pandas Intermediate Topics/13. Changing Row Index with set_index() and reset_index().mp4 | 75.07 MB |
| 20. Appendix 2 Numpy Crash Course (optional)/5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4 | 73.61 MB |
| 13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/5. Systematic vs. unsystematic Risk.mp4 | 73.1 MB |
| 4. Pandas Intermediate Topics/3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 | 72.67 MB |
| 12. Create, Analyze and Optimize Financial Portfolios/4. Creating many random Portfolios with Python.mp4 | 72.47 MB |
| 4. Pandas Intermediate Topics/28. Coding Exercise 5 (Solution).mp4 | 71.87 MB |
| 9. Financial Data - Essential Workflows (Risk, Return & Correlation)/3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4 | 71.86 MB |
| 1. Getting Started/1. Course Overview and how to maximize your learning success.mp4 | 70.95 MB |
| 6. Pandas Advanced Topics/16. split-apply-combine applied.mp4 | 70.71 MB |
| 5. Data Visualization with Matplotlib and Seaborn/2. Visualization with Matplotlib (Intro).mp4 | 70.28 MB |
| 11. Create and Analyze Financial Indexes/17. Coding Exercise 14 (Solution).mp4 | 69.87 MB |
| 4. Pandas Intermediate Topics/30. Handling NA Values missing Values.mp4 | 68.61 MB |
| 13. Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)/14. Coding Exercise 16 (Solution).mp4 | 68.45 MB |
| 20. Appendix 2 Numpy Crash Course (optional)/7. Generating Random Numbers.mp4 | 67.51 MB |
| 1. Getting Started/7. How to use Jupyter Notebooks.mp4 | 66.29 MB |
| 4. Pandas Intermediate Topics/24. Advanced Filtering with between(), isin() and ~.mp4 | 65.45 MB |
| 1. Getting Started/6. Opening a Jupyter Notebook.mp4 | 65.09 MB |
| 20. Appendix 2 Numpy Crash Course (optional)/2. Numpy Arrays Vectorization.mp4 | 64.73 MB |
| 19. Appendix 1 Python Crash Course (optional)/14. User Defined Functions (Part 1).mp4 | 64.38 MB |
| 11. Create and Analyze Financial Indexes/1. Financial Indexes - an Overview.mp4 | 64.35 MB |
| 6. Pandas Advanced Topics/5. Arithmetic Operations (Part 1).mp4 | 63.51 MB |
| 19. Appendix 1 Python Crash Course (optional)/6. Data Types Lists (Part 1).mp4 | 62.73 MB |
| 5. Data Visualization with Matplotlib and Seaborn/12. Coding Exercise 7 (Solution).mp4 | 62.15 MB |
| 3. Pandas Basics/19. Summary and Outlook.mp4 | 62.13 MB |
| 14. Forward-looking Mean-Variance Optimization & Asset Allocation/2. Mean-Variance Optimization (MVO).mp4 | 61.73 MB |
| 3. Pandas Basics/9. Explore your own Dataset Coding Exercise 1 (Intro).mp4 | 60.54 MB |
| 10. Financial Data - Advanced Techniques (Rolling Statistics & Reporting)/11. The S&P 500 Return Triangle (Part 2).mp4 | 60.35 MB |
| 14. Forward-looking Mean-Variance Optimization & Asset Allocation/5. It´s not that simple - Part 2 (Investments 101 vs. Real World).mp4 | 60.07 MB |