| 1. Introduction | |||
| 1. One Question.mp4 | 43.21 MB | ||
| 1. One Question.srt | 3.12 KB | ||
| 2. Get the most out of this course.mp4 | 75.17 MB | ||
| 2. Get the most out of this course.srt | 5.55 KB | ||
| 10. Data Sources | |||
| 1. Introduction.mp4 | 20.16 MB | ||
| 1. Introduction.srt | 1.23 KB | ||
| 10. Exercises.mp4 | 57.07 MB | ||
| 10. Exercises.srt | 5.41 KB | ||
| 11. Solutions.mp4 | 166.28 MB | ||
| 11. Solutions.srt | 16.68 KB | ||
| 12. What did we learn.mp4 | 25.04 MB | ||
| 12. What did we learn.srt | 1.7 KB | ||
| 2. What will we learn.mp4 | 65.9 MB | ||
| 2. What will we learn.srt | 4.19 KB | ||
| 3. Pandas Datareader - Remote Data Access for Pandas.mp4 | 32.91 MB | ||
| 3. Pandas Datareader - Remote Data Access for Pandas.srt | 2.2 KB | ||
| 4. Jupyter Notebook Pandas Datareader - Part I.mp4 | 249.43 MB | ||
| 4. Jupyter Notebook Pandas Datareader - Part I.srt | 26.49 KB | ||
| 5. Jupyter Notebook Pandas Datareader - Part II.mp4 | 121.68 MB | ||
| 5. Jupyter Notebook Pandas Datareader - Part II.srt | 14.99 KB | ||
| 6. The Yahoo! Finance API - read Financial Statements.mp4 | 53.56 MB | ||
| 6. The Yahoo! Finance API - read Financial Statements.srt | 3.87 KB | ||
| 7. Jupyter Notebook Yahoo! Finance - Financial Statements.mp4 | 164.91 MB | ||
| 7. Jupyter Notebook Yahoo! Finance - Financial Statements.srt | 18.92 KB | ||
| 8. Web Scraping.mp4 | 58.62 MB | ||
| 8. Web Scraping.srt | 3.95 KB | ||
| 9. Jupyter Notebook Web Scraping.mp4 | 211.58 MB | ||
| 9. Jupyter Notebook Web Scraping.srt | 23.32 KB | ||
| 11. Time Series Data | |||
| 1. Introduction.mp4 | 71.07 MB | ||
| 1. Introduction.srt | 5.33 KB | ||
| 2. Rate of Return, Percentage Change, and Normalization.mp4 | 121.94 MB | ||
| 2. Rate of Return, Percentage Change, and Normalization.srt | 8.32 KB | ||
| 3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.mp4 | 136.02 MB | ||
| 3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.srt | 14.73 KB | ||
| 4. CAGR.mp4 | 41.45 MB | ||
| 4. CAGR.srt | 2.82 KB | ||
| 5. Jupyter Notebook CAGR.mp4 | 103.37 MB | ||
| 5. Jupyter Notebook CAGR.srt | 11.89 KB | ||
| 6. Jupyter Notebook Multiple Time Frames.mp4 | 105.11 MB | ||
| 6. Jupyter Notebook Multiple Time Frames.srt | 11.3 KB | ||
| 7. Case Study DOW Theory.mp4 | 323.58 MB | ||
| 7. Case Study DOW Theory.srt | 24.86 KB | ||
| 8. Jupyter Notebook Case Study DOW Theory.mp4 | 193.72 MB | ||
| 8. Jupyter Notebook Case Study DOW Theory.srt | 21.95 KB | ||
| 9. What did we learn.mp4 | 29.3 MB | ||
| 9. What did we learn.srt | 2.2 KB | ||
| 12. Technical Indicators | |||
| 1. Introduction.mp4 | 53.82 MB | ||
| 1. Introduction.srt | 3.56 KB | ||
| 10. Jupyter Notebook Exporting to Excel.mp4 | 245.65 MB | ||
| 10. Jupyter Notebook Exporting to Excel.srt | 27.34 KB | ||
| 11. Jupyter Notebook Using our Excel Sheet.mp4 | 143.37 MB | ||
| 11. Jupyter Notebook Using our Excel Sheet.srt | 15.43 KB | ||
| 12. Exercises.mp4 | 79.65 MB | ||
| 12. Exercises.srt | 9.01 KB | ||
| 13. Solutions.mp4 | 138.49 MB | ||
| 13. Solutions.srt | 13.11 KB | ||
| 14. What did we learn.mp4 | 18.25 MB | ||
| 14. What did we learn.srt | 1.13 KB | ||
| 2. What is a Technical Indicator and Types of Indicators.mp4 | 147.52 MB | ||
| 2. What is a Technical Indicator and Types of Indicators.srt | 9.68 KB | ||
| 3. Indicator Moving Average.mp4 | 103.25 MB | ||
| 3. Indicator Moving Average.srt | 7.02 KB | ||
| 4. Jupyter Notebook Simple Moving Average (MA).mp4 | 184.47 MB | ||
| 4. Jupyter Notebook Simple Moving Average (MA).srt | 20.32 KB | ||
| 5. Jupyter Notebook Exponential Moving Average (EMA).mp4 | 92.89 MB | ||
| 5. Jupyter Notebook Exponential Moving Average (EMA).srt | 10.26 KB | ||
| 6. Indicator MACD.mp4 | 89.8 MB | ||
| 6. Indicator MACD.srt | 5.99 KB | ||
| 7. Jupyter Notebook MACD.mp4 | 155.76 MB | ||
| 7. Jupyter Notebook MACD.srt | 17.52 KB | ||
| 8. Indicator Stochastic Oscillator.mp4 | 78.8 MB | ||
| 8. Indicator Stochastic Oscillator.srt | 5.38 KB | ||
| 9. Jupyter Notebook Stochastic Oscillator.mp4 | 170.34 MB | ||
| 9. Jupyter Notebook Stochastic Oscillator.srt | 18.19 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B | ||
| 13. NumPy | |||
| 1. Introduction.mp4 | 121.09 MB | ||
| 1. Introduction.srt | 7.94 KB | ||
| 10. What did we learn.mp4 | 49.17 MB | ||
| 10. What did we learn.srt | 3.08 KB | ||
| 2. Jupyter Notebook Introduction to NumPy.mp4 | 154.96 MB | ||
| 2. Jupyter Notebook Introduction to NumPy.srt | 21.11 KB | ||
| 3. Jupyter Notebook Index, Slicing, and Views.mp4 | 124.46 MB | ||
| 3. Jupyter Notebook Index, Slicing, and Views.srt | 15.03 KB | ||
| 4. Jupyter Notebook DataFrames and Series with NumPy.mp4 | 172.53 MB | ||
| 4. Jupyter Notebook DataFrames and Series with NumPy.srt | 20.23 KB | ||
| 5. Jupyter Notebook Vectorization with NumPy.mp4 | 139.81 MB | ||
| 5. Jupyter Notebook Vectorization with NumPy.srt | 14.59 KB | ||
| 6. Jupyter Notebook Matplotlib and NumPy.mp4 | 126.76 MB | ||
| 6. Jupyter Notebook Matplotlib and NumPy.srt | 13.54 KB | ||
| 7. Jupyter Notebook Dot product and Transpose.mp4 | 156.52 MB | ||
| 7. Jupyter Notebook Dot product and Transpose.srt | 15.71 KB | ||
| 8. Exercises.mp4 | 85.88 MB | ||
| 8. Exercises.srt | 9.53 KB | ||
| 9. Solutions.mp4 | 144.54 MB | ||
| 9. Solutions.srt | 14.65 KB | ||
| 14. Correlation and Linear Regression | |||
| 1. Introduction.mp4 | 30.77 MB | ||
| 1. Introduction.srt | 2.39 KB | ||
| 10. Jupyter Notebook Beta Calculations.mp4 | 109.41 MB | ||
| 10. Jupyter Notebook Beta Calculations.srt | 13.59 KB | ||
| 11. CAPM.mp4 | 88.02 MB | ||
| 11. CAPM.srt | 6.04 KB | ||
| 12. Jupyter Notebook CAPM Calculations.mp4 | 105.22 MB | ||
| 12. Jupyter Notebook CAPM Calculations.srt | 12.35 KB | ||
| 13. Exercises.mp4 | 55.36 MB | ||
| 13. Exercises.srt | 6.12 KB | ||
| 14. Solutions.mp4 | 107.06 MB | ||
| 14. Solutions.srt | 10.92 KB | ||
| 15. What did we learn.mp4 | 39.55 MB | ||
| 15. What did we learn.srt | 2.49 KB | ||
| 2. Adjusted Close.mp4 | 47.95 MB | ||
| 2. Adjusted Close.srt | 3.54 KB | ||
| 3. Volatility of a Stock.mp4 | 106.65 MB | ||
| 3. Volatility of a Stock.srt | 7.28 KB | ||
| 4. Jupyter Notebook Volatility Calculations.mp4 | 213.26 MB | ||
| 4. Jupyter Notebook Volatility Calculations.srt | 27.73 KB | ||
| 5. Correlation Between Securities.mp4 | 45.22 MB | ||
| 5. Correlation Between Securities.srt | 2.8 KB | ||
| 6. Jupyter Notebook Correlation Calculations.mp4 | 93.97 MB | ||
| 6. Jupyter Notebook Correlation Calculations.srt | 11.58 KB | ||
| 7. Linear Regression.mp4 | 72.35 MB | ||
| 7. Linear Regression.srt | 4.81 KB | ||
| 8. Jupyter Notebook Linear Regression.mp4 | 169.36 MB | ||
| 8. Jupyter Notebook Linear Regression.srt | 19.73 KB | ||
| 9. Beta.mp4 | 42.59 MB | ||
| 9. Beta.srt | 2.87 KB | ||
| 15. Working with Portfolios and Monte Carlo Simulations | |||
| 1. Introduction.mp4 | 30.75 MB | ||
| 1. Introduction.srt | 1.91 KB | ||
| 10. Exercises.mp4 | 58.58 MB | ||
| 10. Exercises.srt | 7.09 KB | ||
| 11. Solutions.mp4 | 155.06 MB | ||
| 11. Solutions.srt | 18.66 KB | ||
| 12. What did we learn.mp4 | 32.42 MB | ||
| 12. What did we learn.srt | 2.21 KB | ||
| 2. Portfolios.mp4 | 28.6 MB | ||
| 2. Portfolios.srt | 2.01 KB | ||
| 3. Jupyter Notebook Portfolio.mp4 | 135.94 MB | ||
| 3. Jupyter Notebook Portfolio.srt | 15.44 KB | ||
| 4. Sharpe Ratio.mp4 | 54.2 MB | ||
| 4. Sharpe Ratio.srt | 3.66 KB | ||
| 5. Jupyter Notebook Sharpe Ratio Calculations.mp4 | 126.59 MB | ||
| 5. Jupyter Notebook Sharpe Ratio Calculations.srt | 15.82 KB | ||
| 6. Monte Carlo Simulations.mp4 | 78.1 MB | ||
| 6. Monte Carlo Simulations.srt | 5.05 KB | ||
| 7. Jupyter Notebook Monte Carlo Simulations - Introduction.mp4 | 154.87 MB | ||
| 7. Jupyter Notebook Monte Carlo Simulations - Introduction.srt | 21.23 KB | ||
| 8. Jupyter Notebook Portfolios and Monte Carlo Simulations.mp4 | 157.84 MB | ||
| 8. Jupyter Notebook Portfolios and Monte Carlo Simulations.srt | 19.37 KB | ||
| 9. Jupyter Notebook The Efficient Frontier.mp4 | 63.97 MB | ||
| 9. Jupyter Notebook The Efficient Frontier.srt | 6.87 KB | ||
| 16. Finish Line | |||
| 1. Introduction.mp4 | 19.97 MB | ||
| 1. Introduction.srt | 1.29 KB | ||
| 2. 3 Books to Read.mp4 | 231.77 MB | ||
| 2. 3 Books to Read.srt | 18.47 KB | ||
| 3. Goodbye.mp4 | 44.94 MB | ||
| 3. Goodbye.srt | 2.9 KB | ||
| 2. Setup | |||
| 1. Introduction.mp4 | 10.86 MB | ||
| 1. Introduction.srt | 594 B | ||
| 2. Download Anaconda (includes Python and Jupyter notebook).mp4 | 23.63 MB | ||
| 2. Download Anaconda (includes Python and Jupyter notebook).srt | 2.09 KB | ||
| 2.1 Installation guides.html | 104 B | ||
| 2.2 Download link to Anaconda.html | 105 B | ||
| 3. Resources and setup environment in Jupyter notebook.mp4 | 74.25 MB | ||
| 3. Resources and setup environment in Jupyter notebook.srt | 5.75 KB | ||
| 3.1 PyFinance.zip | 19 MB | ||
| 3.2 Link to PyFinance.zip on Google Drive.html | 143 B | ||
| 4. Prompt rating.mp4 | 12.18 MB | ||
| 4. Prompt rating.srt | 986 B | ||
| 3. Jupyter Notebook guide | |||
| 1. Introduction.mp4 | 20.12 MB | ||
| 1. Introduction.srt | 1.24 KB | ||
| 2. Jupyter Notebook Cheat Sheet..html | 77 B | ||
| 2.1 Jupyter Cheat Sheet - MAC.pdf | 555.44 KB | ||
| 2.2 Jupyter Cheat Sheet - PC.pdf | 555.77 KB | ||
| 3. Jupyter Notebook The Dashboard.mp4 | 56.08 MB | ||
| 3. Jupyter Notebook The Dashboard.srt | 4.75 KB | ||
| 4. Jupyter Notebook Run and restart a Notebook.mp4 | 53.53 MB | ||
| 4. Jupyter Notebook Run and restart a Notebook.srt | 4.57 KB | ||
| 5. Jupyter Notebook Copy and reorganize code.mp4 | 27.42 MB | ||
| 5. Jupyter Notebook Copy and reorganize code.srt | 2.82 KB | ||
| 6. Jupyter Notebook Comment and markdown.mp4 | 33.08 MB | ||
| 6. Jupyter Notebook Comment and markdown.srt | 3.27 KB | ||
| 7. Jupyter Notebook Tab + Tab + Shift & Tab.mp4 | 82.17 MB | ||
| 7. Jupyter Notebook Tab + Tab + Shift & Tab.srt | 9.4 KB | ||
| 8. What did we learn.mp4 | 19.77 MB | ||
| 8. What did we learn.srt | 1.17 KB | ||
| 4. Python Crash Course | |||
| 1. Introduction.mp4 | 24.77 MB | ||
| 1. Introduction.srt | 1.63 KB | ||
| 10. Other types.mp4 | 53.86 MB | ||
| 10. Other types.srt | 5.11 KB | ||
| 11. Functions.mp4 | 59.73 MB | ||
| 11. Functions.srt | 5.34 KB | ||
| 12. Lambda functions.mp4 | 109.56 MB | ||
| 12. Lambda functions.srt | 10.8 KB | ||
| 13. Exercises.mp4 | 72.71 MB | ||
| 13. Exercises.srt | 7.55 KB | ||
| 14. Solutions.mp4 | 164.74 MB | ||
| 14. Solutions.srt | 18.97 KB | ||
| 15. New to Python We have all been there.mp4 | 72.23 MB | ||
| 15. New to Python We have all been there.srt | 4.65 KB | ||
| 16. What did we learn.mp4 | 27 MB | ||
| 16. What did we learn.srt | 1.76 KB | ||
| 16.1 04 - Python Cheat Sheet.pdf | 135.6 KB | ||
| 2. Variables and types.mp4 | 157.86 MB | ||
| 2. Variables and types.srt | 15.8 KB | ||
| 3. The print statement.mp4 | 39.35 MB | ||
| 3. The print statement.srt | 3.77 KB | ||
| 4. Boolean expressions.mp4 | 82.59 MB | ||
| 4. Boolean expressions.srt | 7.85 KB | ||
| 5. If statements.mp4 | 74.06 MB | ||
| 5. If statements.srt | 6.2 KB | ||
| 6. Python lists.mp4 | 71.68 MB | ||
| 6. Python lists.srt | 7.12 KB | ||
| 7. For-loops.mp4 | 62.36 MB | ||
| 7. For-loops.srt | 6.49 KB | ||
| 8. While loops.mp4 | 35.63 MB | ||
| 8. While loops.srt | 3.51 KB | ||
| 9. Python Dictionaries (dict).mp4 | 53.99 MB | ||
| 9. Python Dictionaries (dict).srt | 5.46 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B | ||
| 5. Lemonade Stand | |||
| 1. Introduction.mp4 | 28.94 MB | ||
| 1. Introduction.srt | 1.57 KB | ||
| 10. Dividend a story - an easy way to understand them.mp4 | 76.94 MB | ||
| 10. Dividend a story - an easy way to understand them.srt | 8.44 KB | ||
| 11. Jupyter Notebook Dividend.mp4 | 180.79 MB | ||
| 11. Jupyter Notebook Dividend.srt | 18.96 KB | ||
| 12. What did we learn.mp4 | 55.7 MB | ||
| 12. What did we learn.srt | 2.98 KB | ||
| 2. Intrinsic Value.mp4 | 77.57 MB | ||
| 2. Intrinsic Value.srt | 5.04 KB | ||
| 3. Introduction to the Lemonade Stand.mp4 | 117.85 MB | ||
| 3. Introduction to the Lemonade Stand.srt | 8.18 KB | ||
| 4. The Lemonade Stand - the easy to understand example.mp4 | 99.67 MB | ||
| 4. The Lemonade Stand - the easy to understand example.srt | 7.92 KB | ||
| 5. Jupyter Notebook The Lemonade Stand.mp4 | 193.4 MB | ||
| 5. Jupyter Notebook The Lemonade Stand.srt | 23.31 KB | ||
| 6. Shares.mp4 | 101.17 MB | ||
| 6. Shares.srt | 6.5 KB | ||
| 7. Shares a story - Understand what they really are.mp4 | 121.18 MB | ||
| 7. Shares a story - Understand what they really are.srt | 9.55 KB | ||
| 8. Jupyter Notebook Shares.mp4 | 158.17 MB | ||
| 8. Jupyter Notebook Shares.srt | 18.89 KB | ||
| 9. Dividend.mp4 | 89.41 MB | ||
| 9. Dividend.srt | 5.12 KB | ||
| 6. Pandas | |||
| 1. Introduction.mp4 | 137.59 MB | ||
| 1. Introduction.srt | 9.71 KB | ||
| 1.1 Pandas_Cheat_Sheet.pdf | 337.8 KB | ||
| 10. Read and Write with Pandas - Part II.mp4 | 156.61 MB | ||
| 10. Read and Write with Pandas - Part II.srt | 16.26 KB | ||
| 11. Read and Write with Pandas - Part III.mp4 | 155.98 MB | ||
| 11. Read and Write with Pandas - Part III.srt | 13.97 KB | ||
| 11.1 httpsen.wikipedia.orgwikiList_of_countries_by_past_and_projected_GDP_(PPP).html | 140 B | ||
| 12. Merge - Join - Concatenate - Part I.mp4 | 112.59 MB | ||
| 12. Merge - Join - Concatenate - Part I.srt | 11.44 KB | ||
| 12.1 Pandas_Cheat_Sheet.pdf | 337.8 KB | ||
| 13. Merge - Join - Concatenate - Part II.mp4 | 68.43 MB | ||
| 13. Merge - Join - Concatenate - Part II.srt | 6.36 KB | ||
| 14. Transpose and clean data.mp4 | 110.79 MB | ||
| 14. Transpose and clean data.srt | 10.2 KB | ||
| 15. Views.mp4 | 76.58 MB | ||
| 15. Views.srt | 7.39 KB | ||
| 16. Useful methods to know.mp4 | 111.34 MB | ||
| 16. Useful methods to know.srt | 11.58 KB | ||
| 17. Apply - an awesome method to master.mp4 | 77.88 MB | ||
| 17. Apply - an awesome method to master.srt | 7.71 KB | ||
| 18. Exercises.mp4 | 74.33 MB | ||
| 18. Exercises.srt | 7.57 KB | ||
| 19. Solutions.mp4 | 139.83 MB | ||
| 19. Solutions.srt | 14.13 KB | ||
| 2. Introduction to Pandas - a small demonstration.mp4 | 156.46 MB | ||
| 2. Introduction to Pandas - a small demonstration.srt | 16.53 KB | ||
| 20. What did we learn.mp4 | 47.15 MB | ||
| 20. What did we learn.srt | 2.95 KB | ||
| 3. Series.mp4 | 159.69 MB | ||
| 3. Series.srt | 17.47 KB | ||
| 4. DataFrames - Part I.mp4 | 167.25 MB | ||
| 4. DataFrames - Part I.srt | 17.64 KB | ||
| 5. DataFrames - Part II.mp4 | 107.46 MB | ||
| 5. DataFrames - Part II.srt | 10.61 KB | ||
| 6. DataFrames - Part III.mp4 | 117.88 MB | ||
| 6. DataFrames - Part III.srt | 10.56 KB | ||
| 7. DataFrames - Part IV.mp4 | 98.67 MB | ||
| 7. DataFrames - Part IV.srt | 11.06 KB | ||
| 8. DataFrames - Part V.mp4 | 104.4 MB | ||
| 8. DataFrames - Part V.srt | 11.09 KB | ||
| 9. Read and Write with Pandas - Part I.mp4 | 165.71 MB | ||
| 9. Read and Write with Pandas - Part I.srt | 14.89 KB | ||
| 7. Intrinsic Value | |||
| 1. Introduction.mp4 | 26.71 MB | ||
| 1. Introduction.srt | 1.42 KB | ||
| 10. Current ratio - Evaluation.mp4 | 74.59 MB | ||
| 10. Current ratio - Evaluation.srt | 4.38 KB | ||
| 10.1 Investopedia - Current Ratio.html | 114 B | ||
| 11. Jupyter Notebook - Current ratio.mp4 | 148.28 MB | ||
| 11. Jupyter Notebook - Current ratio.srt | 14.89 KB | ||
| 12. Stable and predictable.mp4 | 160.68 MB | ||
| 12. Stable and predictable.srt | 11.83 KB | ||
| 13. Return of Investment (ROI) - Evaluation.mp4 | 105.9 MB | ||
| 13. Return of Investment (ROI) - Evaluation.srt | 7.9 KB | ||
| 13.1 Investopedia - Return of Investment (ROI).html | 120 B | ||
| 14. Jupyter Notebook Return of Investment.mp4 | 135.97 MB | ||
| 14. Jupyter Notebook Return of Investment.srt | 15.1 KB | ||
| 15. Revenue - Evaluation.mp4 | 94.66 MB | ||
| 15. Revenue - Evaluation.srt | 7.09 KB | ||
| 15.1 Investopedia - Revenue.html | 109 B | ||
| 16. Jupyter Notebook Revenue.mp4 | 230.69 MB | ||
| 16. Jupyter Notebook Revenue.srt | 24.15 KB | ||
| 16.1 Investopedia - CAGR.html | 106 B | ||
| 16.2 Investopedia - AAGR.html | 106 B | ||
| 17. Earnings Per Share (EPS) - Evaluation.mp4 | 43.19 MB | ||
| 17. Earnings Per Share (EPS) - Evaluation.srt | 3.06 KB | ||
| 17.1 Investopedia - Earnings Per Share (EPS).html | 105 B | ||
| 18. Jupyter Notebook Earnings Per Share (EPS).mp4 | 120.1 MB | ||
| 18. Jupyter Notebook Earnings Per Share (EPS).srt | 13.99 KB | ||
| 19. Book Value - Evaluation.mp4 | 84.2 MB | ||
| 19. Book Value - Evaluation.srt | 5.38 KB | ||
| 19.1 Investopedia - Book Value.html | 111 B | ||
| 2. Outcome of section.mp4 | 141.02 MB | ||
| 2. Outcome of section.srt | 9.42 KB | ||
| 20. Jupyter Notebook Book Value.mp4 | 160.54 MB | ||
| 20. Jupyter Notebook Book Value.srt | 17.55 KB | ||
| 21. Free Cash Flow (FCF) - Evaluation.mp4 | 38.95 MB | ||
| 21. Free Cash Flow (FCF) - Evaluation.srt | 2.49 KB | ||
| 21.1 Investopeida - Free Cash Flow (FCF).html | 114 B | ||
| 22. Jupyter Notebook Free Cash Flow (FCF).mp4 | 66.14 MB | ||
| 22. Jupyter Notebook Free Cash Flow (FCF).srt | 6.8 KB | ||
| 23. Combine All Data.mp4 | 69.22 MB | ||
| 23. Combine All Data.srt | 4.85 KB | ||
| 24. Jupyter Notebook Combine All Data.mp4 | 141.16 MB | ||
| 24. Jupyter Notebook Combine All Data.srt | 15.7 KB | ||
| 25. Calculate a Fair Price (Intrinsic Value).mp4 | 139.51 MB | ||
| 25. Calculate a Fair Price (Intrinsic Value).srt | 9.81 KB | ||
| 26. Price-to-Earnings (PE) ratio.mp4 | 55.15 MB | ||
| 26. Price-to-Earnings (PE) ratio.srt | 3.31 KB | ||
| 26.1 Investopedia - Price-to-Earnings (PE) ratio.html | 121 B | ||
| 27. Jupyter Notebook Price-to-Earnings (PE) ratio.mp4 | 73.37 MB | ||
| 27. Jupyter Notebook Price-to-Earnings (PE) ratio.srt | 7.24 KB | ||
| 28. Jupyter Notebook Calculate a Fair Price (Intrinsic Value).mp4 | 129.82 MB | ||
| 28. Jupyter Notebook Calculate a Fair Price (Intrinsic Value).srt | 12.89 KB | ||
| 29. Compare it with Current Price.mp4 | 127.87 MB | ||
| 29. Compare it with Current Price.srt | 13.22 KB | ||
| 3. Understand Risk - Part I.mp4 | 93.63 MB | ||
| 3. Understand Risk - Part I.srt | 5.98 KB | ||
| 30. What did we learn.mp4 | 99.88 MB | ||
| 30. What did we learn.srt | 6.81 KB | ||
| 4. Understand Risk - Part II.mp4 | 64.16 MB | ||
| 4. Understand Risk - Part II.srt | 3.98 KB | ||
| 5. Understand Rik - Part III.mp4 | 61.79 MB | ||
| 5. Understand Rik - Part III.srt | 4.18 KB | ||
| 6. Understand Risk - All put together.mp4 | 57.04 MB | ||
| 6. Understand Risk - All put together.srt | 3.78 KB | ||
| 7. Evaluate Leadership.mp4 | 205.56 MB | ||
| 7. Evaluate Leadership.srt | 13.26 KB | ||
| 8. Debt-to-Equity ration - Evaluation.mp4 | 93.65 MB | ||
| 8. Debt-to-Equity ration - Evaluation.srt | 5.76 KB | ||
| 8.1 Investopedia - Debt-to-equity ratio.html | 117 B | ||
| 9. Jupyter Notebook Debt-to-Equity ratio.mp4 | 278.31 MB | ||
| 9. Jupyter Notebook Debt-to-Equity ratio.srt | 28.31 KB | ||
| 8. Matplotlib | |||
| 1. Introduction.mp4 | 20.95 MB | ||
| 1. Introduction.srt | 1013 B | ||
| 10. Solutions.mp4 | 188.52 MB | ||
| 10. Solutions.srt | 19.92 KB | ||
| 11. What did we learn.mp4 | 31.51 MB | ||
| 11. What did we learn.srt | 2.07 KB | ||
| 2. Overview of section.mp4 | 104.6 MB | ||
| 2. Overview of section.srt | 6.59 KB | ||
| 3. Jupyter Notebook Matplotlib basics.mp4 | 120.74 MB | ||
| 3. Jupyter Notebook Matplotlib basics.srt | 13.26 KB | ||
| 4. Jupyter Notebook Work with Axis.mp4 | 115.37 MB | ||
| 4. Jupyter Notebook Work with Axis.srt | 12.4 KB | ||
| 5. Jupyter Notebook Title and Labels.mp4 | 104.81 MB | ||
| 5. Jupyter Notebook Title and Labels.srt | 12.42 KB | ||
| 5.1 Matplotlib Overview.html | 129 B | ||
| 6. Jupyter Notebook Matplotlib and Pandas.mp4 | 96.98 MB | ||
| 6. Jupyter Notebook Matplotlib and Pandas.srt | 10.04 KB | ||
| 7. Jupyter Notebook Pandas and data structures.mp4 | 146.08 MB | ||
| 7. Jupyter Notebook Pandas and data structures.srt | 13.43 KB | ||
| 8. Jupyter Notebook Bar plots.mp4 | 114.01 MB | ||
| 8. Jupyter Notebook Bar plots.srt | 13.57 KB | ||
| 9. Exercises.mp4 | 76.14 MB | ||
| 9. Exercises.srt | 7.42 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B | ||
| 9. Visualization and Excel Export of Financial Data | |||
| 1. Introduction.mp4 | 33.21 MB | ||
| 1. Introduction.srt | 2.03 KB | ||
| 2. Matplotlib - Part I.mp4 | 200.63 MB | ||
| 2. Matplotlib - Part I.srt | 21.46 KB | ||
| 3. Matplotlib - Part II.mp4 | 179.81 MB | ||
| 3. Matplotlib - Part II.srt | 21.3 KB | ||
| 4. Export to Excel - Part I.mp4 | 156.78 MB | ||
| 4. Export to Excel - Part I.srt | 17.01 KB | ||
| 4.1 XLSX Writer - Format.html | 106 B | ||
| 5. Export to Excel - Part II.mp4 | 249.24 MB | ||
| 5. Export to Excel - Part II.srt | 26.37 KB | ||
| 6. Export to Excel - Part III.mp4 | 126.31 MB | ||
| 6. Export to Excel - Part III.srt | 13.61 KB | ||
| 7. What did we learn.mp4 | 44.05 MB | ||
| 7. What did we learn.srt | 3 KB | ||
| Download Paid Udemy Courses For Free.url | 116 B | ||
| GetFreeCourses.Co.url | 116 B | ||
| How you can help GetFreeCourses.Co.txt | 182 B | ||
| ▲ 403 total files | |||
Python for Finance 2021: Financial Analysis for Investing
Use Python to Find Good Investments. Learn Pandas, NumPy, Matplotlib for Financial Analysis & Automate Value Investing.
Udemy Link - https://www.udemy.com/course/python-for-finance-financial-analysis-for-investing/
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Udemy - Python Programming for Beginners - Learn Python from Scratch Posted by
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