| 11. Time Series Data/7. Case Study DOW Theory.mp4 | 323.58 MB |
| 7. Intrinsic Value/9. Jupyter Notebook Debt-to-Equity ratio.mp4 | 278.31 MB |
| 10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.mp4 | 249.43 MB |
| 9. Visualization and Excel Export of Financial Data/5. Export to Excel - Part II.mp4 | 249.24 MB |
| 12. Technical Indicators/10. Jupyter Notebook Exporting to Excel.mp4 | 245.65 MB |
| 16. Finish Line/2. 3 Books to Read.mp4 | 231.77 MB |
| 7. Intrinsic Value/16. Jupyter Notebook Revenue.mp4 | 230.69 MB |
| 14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.mp4 | 213.26 MB |
| 10. Data Sources/9. Jupyter Notebook Web Scraping.mp4 | 211.58 MB |
| 7. Intrinsic Value/7. Evaluate Leadership.mp4 | 205.56 MB |
| 9. Visualization and Excel Export of Financial Data/2. Matplotlib - Part I.mp4 | 200.63 MB |
| 11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.mp4 | 193.72 MB |
| 5. Lemonade Stand/5. Jupyter Notebook The Lemonade Stand.mp4 | 193.4 MB |
| 8. Matplotlib/10. Solutions.mp4 | 188.52 MB |
| 12. Technical Indicators/4. Jupyter Notebook Simple Moving Average (MA).mp4 | 184.47 MB |
| 5. Lemonade Stand/11. Jupyter Notebook Dividend.mp4 | 180.79 MB |
| 9. Visualization and Excel Export of Financial Data/3. Matplotlib - Part II.mp4 | 179.81 MB |
| 13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.mp4 | 172.53 MB |
| 12. Technical Indicators/9. Jupyter Notebook Stochastic Oscillator.mp4 | 170.34 MB |
| 14. Correlation and Linear Regression/8. Jupyter Notebook Linear Regression.mp4 | 169.36 MB |
| 6. Pandas/4. DataFrames - Part I.mp4 | 167.25 MB |
| 10. Data Sources/11. Solutions.mp4 | 166.28 MB |
| 6. Pandas/9. Read and Write with Pandas - Part I.mp4 | 165.71 MB |
| 10. Data Sources/7. Jupyter Notebook Yahoo! Finance - Financial Statements.mp4 | 164.91 MB |
| 4. Python Crash Course/14. Solutions.mp4 | 164.74 MB |
| 7. Intrinsic Value/12. Stable and predictable.mp4 | 160.68 MB |
| 7. Intrinsic Value/20. Jupyter Notebook Book Value.mp4 | 160.54 MB |
| 6. Pandas/3. Series.mp4 | 159.69 MB |
| 5. Lemonade Stand/8. Jupyter Notebook Shares.mp4 | 158.17 MB |
| 4. Python Crash Course/2. Variables and types.mp4 | 157.86 MB |
| 15. Working with Portfolios and Monte Carlo Simulations/8. Jupyter Notebook Portfolios and Monte Carlo Simulations.mp4 | 157.84 MB |
| 9. Visualization and Excel Export of Financial Data/4. Export to Excel - Part I.mp4 | 156.78 MB |
| 6. Pandas/10. Read and Write with Pandas - Part II.mp4 | 156.61 MB |
| 13. NumPy/7. Jupyter Notebook Dot product and Transpose.mp4 | 156.52 MB |
| 6. Pandas/2. Introduction to Pandas - a small demonstration.mp4 | 156.46 MB |
| 6. Pandas/11. Read and Write with Pandas - Part III.mp4 | 155.98 MB |
| 12. Technical Indicators/7. Jupyter Notebook MACD.mp4 | 155.76 MB |
| 15. Working with Portfolios and Monte Carlo Simulations/11. Solutions.mp4 | 155.06 MB |
| 13. NumPy/2. Jupyter Notebook Introduction to NumPy.mp4 | 154.96 MB |
| 15. Working with Portfolios and Monte Carlo Simulations/7. Jupyter Notebook Monte Carlo Simulations - Introduction.mp4 | 154.87 MB |
| 7. Intrinsic Value/11. Jupyter Notebook - Current ratio.mp4 | 148.28 MB |
| 12. Technical Indicators/2. What is a Technical Indicator and Types of Indicators.mp4 | 147.52 MB |
| 8. Matplotlib/7. Jupyter Notebook Pandas and data structures.mp4 | 146.08 MB |
| 13. NumPy/9. Solutions.mp4 | 144.54 MB |
| 12. Technical Indicators/11. Jupyter Notebook Using our Excel Sheet.mp4 | 143.37 MB |
| 7. Intrinsic Value/24. Jupyter Notebook Combine All Data.mp4 | 141.16 MB |
| 7. Intrinsic Value/2. Outcome of section.mp4 | 141.02 MB |
| 6. Pandas/19. Solutions.mp4 | 139.83 MB |
| 13. NumPy/5. Jupyter Notebook Vectorization with NumPy.mp4 | 139.81 MB |
| 7. Intrinsic Value/25. Calculate a Fair Price (Intrinsic Value).mp4 | 139.51 MB |