[FreeCourseSite.com] Udemy - Manage Finance Data with Python & Pandas Unique Masterclass

•  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