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Python for Finance 2021: Financial Analysis for Investing
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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/

Please seed as much as you can!

1. Introduction/1. One Question.mp443.21 MiB
1. Introduction/1. One Question.srt3.12 KiB
1. Introduction/2. Get the most out of this course.mp475.17 MiB
1. Introduction/2. Get the most out of this course.srt5.55 KiB
10. Data Sources/1. Introduction.mp420.16 MiB
10. Data Sources/1. Introduction.srt1.23 KiB
10. Data Sources/10. Exercises.mp457.07 MiB
10. Data Sources/10. Exercises.srt5.41 KiB
10. Data Sources/11. Solutions.mp4166.28 MiB
10. Data Sources/11. Solutions.srt16.68 KiB
10. Data Sources/12. What did we learn.mp425.04 MiB
10. Data Sources/12. What did we learn.srt1.7 KiB
10. Data Sources/2. What will we learn.mp465.9 MiB
10. Data Sources/2. What will we learn.srt4.19 KiB
10. Data Sources/3. Pandas Datareader - Remote Data Access for Pandas.mp432.91 MiB
10. Data Sources/3. Pandas Datareader - Remote Data Access for Pandas.srt2.2 KiB
10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.mp4249.43 MiB
10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.srt26.49 KiB
10. Data Sources/5. Jupyter Notebook Pandas Datareader - Part II.mp4121.68 MiB
10. Data Sources/5. Jupyter Notebook Pandas Datareader - Part II.srt14.99 KiB
10. Data Sources/6. The Yahoo! Finance API - read Financial Statements.mp453.56 MiB
10. Data Sources/6. The Yahoo! Finance API - read Financial Statements.srt3.87 KiB
10. Data Sources/7. Jupyter Notebook Yahoo! Finance - Financial Statements.mp4164.91 MiB
10. Data Sources/7. Jupyter Notebook Yahoo! Finance - Financial Statements.srt18.92 KiB
10. Data Sources/8. Web Scraping.mp458.62 MiB
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10. Data Sources/9. Jupyter Notebook Web Scraping.mp4211.58 MiB
10. Data Sources/9. Jupyter Notebook Web Scraping.srt23.32 KiB
11. Time Series Data/1. Introduction.mp471.07 MiB
11. Time Series Data/1. Introduction.srt5.33 KiB
11. Time Series Data/2. Rate of Return, Percentage Change, and Normalization.mp4121.94 MiB
11. Time Series Data/2. Rate of Return, Percentage Change, and Normalization.srt8.32 KiB
11. Time Series Data/3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.mp4136.02 MiB
11. Time Series Data/3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.srt14.73 KiB
11. Time Series Data/4. CAGR.mp441.45 MiB
11. Time Series Data/4. CAGR.srt2.82 KiB
11. Time Series Data/5. Jupyter Notebook CAGR.mp4103.37 MiB
11. Time Series Data/5. Jupyter Notebook CAGR.srt11.89 KiB
11. Time Series Data/6. Jupyter Notebook Multiple Time Frames.mp4105.11 MiB
11. Time Series Data/6. Jupyter Notebook Multiple Time Frames.srt11.3 KiB
11. Time Series Data/7. Case Study DOW Theory.mp4323.58 MiB
11. Time Series Data/7. Case Study DOW Theory.srt24.86 KiB
11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.mp4193.72 MiB
11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.srt21.95 KiB
11. Time Series Data/9. What did we learn.mp429.3 MiB
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12. Technical Indicators/1. Introduction.mp453.82 MiB
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12. Technical Indicators/10. Jupyter Notebook Exporting to Excel.mp4245.65 MiB
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12. Technical Indicators/11. Jupyter Notebook Using our Excel Sheet.mp4143.37 MiB
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12. Technical Indicators/12. Exercises.mp479.65 MiB
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12. Technical Indicators/13. Solutions.mp4138.49 MiB
12. Technical Indicators/13. Solutions.srt13.11 KiB
12. Technical Indicators/14. What did we learn.mp418.25 MiB
12. Technical Indicators/14. What did we learn.srt1.13 KiB
12. Technical Indicators/2. What is a Technical Indicator and Types of Indicators.mp4147.52 MiB
12. Technical Indicators/2. What is a Technical Indicator and Types of Indicators.srt9.68 KiB
12. Technical Indicators/3. Indicator Moving Average.mp4103.25 MiB
12. Technical Indicators/3. Indicator Moving Average.srt7.02 KiB
12. Technical Indicators/4. Jupyter Notebook Simple Moving Average (MA).mp4184.47 MiB
12. Technical Indicators/4. Jupyter Notebook Simple Moving Average (MA).srt20.32 KiB
12. Technical Indicators/5. Jupyter Notebook Exponential Moving Average (EMA).mp492.89 MiB
12. Technical Indicators/5. Jupyter Notebook Exponential Moving Average (EMA).srt10.26 KiB
12. Technical Indicators/6. Indicator MACD.mp489.8 MiB
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12. Technical Indicators/8. Indicator Stochastic Oscillator.mp478.8 MiB
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12. Technical Indicators/9. Jupyter Notebook Stochastic Oscillator.mp4170.34 MiB
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12. Technical Indicators/Download Paid Udemy Courses For Free.url116 B
12. Technical Indicators/GetFreeCourses.Co.url116 B
12. Technical Indicators/How you can help GetFreeCourses.Co.txt182 B
13. NumPy/1. Introduction.mp4121.09 MiB
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13. NumPy/10. What did we learn.mp449.17 MiB
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13. NumPy/2. Jupyter Notebook Introduction to NumPy.mp4154.96 MiB
13. NumPy/2. Jupyter Notebook Introduction to NumPy.srt21.11 KiB
13. NumPy/3. Jupyter Notebook Index, Slicing, and Views.mp4124.46 MiB
13. NumPy/3. Jupyter Notebook Index, Slicing, and Views.srt15.03 KiB
13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.mp4172.53 MiB
13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.srt20.23 KiB
13. NumPy/5. Jupyter Notebook Vectorization with NumPy.mp4139.81 MiB
13. NumPy/5. Jupyter Notebook Vectorization with NumPy.srt14.59 KiB
13. NumPy/6. Jupyter Notebook Matplotlib and NumPy.mp4126.76 MiB
13. NumPy/6. Jupyter Notebook Matplotlib and NumPy.srt13.54 KiB
13. NumPy/7. Jupyter Notebook Dot product and Transpose.mp4156.52 MiB
13. NumPy/7. Jupyter Notebook Dot product and Transpose.srt15.71 KiB
13. NumPy/8. Exercises.mp485.88 MiB
13. NumPy/8. Exercises.srt9.53 KiB
13. NumPy/9. Solutions.mp4144.54 MiB
13. NumPy/9. Solutions.srt14.65 KiB
14. Correlation and Linear Regression/1. Introduction.mp430.77 MiB
14. Correlation and Linear Regression/1. Introduction.srt2.39 KiB
14. Correlation and Linear Regression/10. Jupyter Notebook Beta Calculations.mp4109.41 MiB
14. Correlation and Linear Regression/10. Jupyter Notebook Beta Calculations.srt13.59 KiB
14. Correlation and Linear Regression/11. CAPM.mp488.02 MiB
14. Correlation and Linear Regression/11. CAPM.srt6.04 KiB
14. Correlation and Linear Regression/12. Jupyter Notebook CAPM Calculations.mp4105.22 MiB
14. Correlation and Linear Regression/12. Jupyter Notebook CAPM Calculations.srt12.35 KiB
14. Correlation and Linear Regression/13. Exercises.mp455.36 MiB
14. Correlation and Linear Regression/13. Exercises.srt6.12 KiB
14. Correlation and Linear Regression/14. Solutions.mp4107.06 MiB
14. Correlation and Linear Regression/14. Solutions.srt10.92 KiB
14. Correlation and Linear Regression/15. What did we learn.mp439.55 MiB
14. Correlation and Linear Regression/15. What did we learn.srt2.49 KiB
14. Correlation and Linear Regression/2. Adjusted Close.mp447.95 MiB
14. Correlation and Linear Regression/2. Adjusted Close.srt3.54 KiB
14. Correlation and Linear Regression/3. Volatility of a Stock.mp4106.65 MiB
14. Correlation and Linear Regression/3. Volatility of a Stock.srt7.28 KiB
14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.mp4213.26 MiB
14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.srt27.73 KiB
14. Correlation and Linear Regression/5. Correlation Between Securities.mp445.22 MiB
14. Correlation and Linear Regression/5. Correlation Between Securities.srt2.8 KiB
14. Correlation and Linear Regression/6. Jupyter Notebook Correlation Calculations.mp493.97 MiB
14. Correlation and Linear Regression/6. Jupyter Notebook Correlation Calculations.srt11.58 KiB
14. Correlation and Linear Regression/7. Linear Regression.mp472.35 MiB
14. Correlation and Linear Regression/7. Linear Regression.srt4.81 KiB
14. Correlation and Linear Regression/8. Jupyter Notebook Linear Regression.mp4169.36 MiB
14. Correlation and Linear Regression/8. Jupyter Notebook Linear Regression.srt19.73 KiB
14. Correlation and Linear Regression/9. Beta.mp442.59 MiB
14. Correlation and Linear Regression/9. Beta.srt2.87 KiB
15. Working with Portfolios and Monte Carlo Simulations/1. Introduction.mp430.75 MiB
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15. Working with Portfolios and Monte Carlo Simulations/10. Exercises.mp458.58 MiB
15. Working with Portfolios and Monte Carlo Simulations/10. Exercises.srt7.09 KiB
15. Working with Portfolios and Monte Carlo Simulations/11. Solutions.mp4155.06 MiB
15. Working with Portfolios and Monte Carlo Simulations/11. Solutions.srt18.66 KiB
15. Working with Portfolios and Monte Carlo Simulations/12. What did we learn.mp432.42 MiB
15. Working with Portfolios and Monte Carlo Simulations/12. What did we learn.srt2.21 KiB
15. Working with Portfolios and Monte Carlo Simulations/2. Portfolios.mp428.6 MiB
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15. Working with Portfolios and Monte Carlo Simulations/3. Jupyter Notebook Portfolio.mp4135.94 MiB
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15. Working with Portfolios and Monte Carlo Simulations/4. Sharpe Ratio.mp454.2 MiB
15. Working with Portfolios and Monte Carlo Simulations/4. Sharpe Ratio.srt3.66 KiB
15. Working with Portfolios and Monte Carlo Simulations/5. Jupyter Notebook Sharpe Ratio Calculations.mp4126.59 MiB
15. Working with Portfolios and Monte Carlo Simulations/5. Jupyter Notebook Sharpe Ratio Calculations.srt15.82 KiB
15. Working with Portfolios and Monte Carlo Simulations/6. Monte Carlo Simulations.mp478.1 MiB
15. Working with Portfolios and Monte Carlo Simulations/6. Monte Carlo Simulations.srt5.05 KiB
15. Working with Portfolios and Monte Carlo Simulations/7. Jupyter Notebook Monte Carlo Simulations - Introduction.mp4154.87 MiB
15. Working with Portfolios and Monte Carlo Simulations/7. Jupyter Notebook Monte Carlo Simulations - Introduction.srt21.23 KiB
15. Working with Portfolios and Monte Carlo Simulations/8. Jupyter Notebook Portfolios and Monte Carlo Simulations.mp4157.84 MiB
15. Working with Portfolios and Monte Carlo Simulations/8. Jupyter Notebook Portfolios and Monte Carlo Simulations.srt19.37 KiB
15. Working with Portfolios and Monte Carlo Simulations/9. Jupyter Notebook The Efficient Frontier.mp463.97 MiB
15. Working with Portfolios and Monte Carlo Simulations/9. Jupyter Notebook The Efficient Frontier.srt6.87 KiB
16. Finish Line/1. Introduction.mp419.97 MiB
16. Finish Line/1. Introduction.srt1.29 KiB
16. Finish Line/2. 3 Books to Read.mp4231.77 MiB
16. Finish Line/2. 3 Books to Read.srt18.47 KiB
16. Finish Line/3. Goodbye.mp444.94 MiB
16. Finish Line/3. Goodbye.srt2.9 KiB
2. Setup/1. Introduction.mp410.86 MiB
2. Setup/1. Introduction.srt594 B
2. Setup/2. Download Anaconda (includes Python and Jupyter notebook).mp423.63 MiB
2. Setup/2. Download Anaconda (includes Python and Jupyter notebook).srt2.09 KiB
2. Setup/2.1 Installation guides.html104 B
2. Setup/2.2 Download link to Anaconda.html105 B
2. Setup/3. Resources and setup environment in Jupyter notebook.mp474.25 MiB
2. Setup/3. Resources and setup environment in Jupyter notebook.srt5.75 KiB
2. Setup/3.1 PyFinance.zip19 MiB
2. Setup/3.2 Link to PyFinance.zip on Google Drive.html143 B
2. Setup/4. Prompt rating.mp412.18 MiB
2. Setup/4. Prompt rating.srt986 B
3. Jupyter Notebook guide/1. Introduction.mp420.12 MiB
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3. Jupyter Notebook guide/2. Jupyter Notebook Cheat Sheet..html77 B
3. Jupyter Notebook guide/2.1 Jupyter Cheat Sheet - MAC.pdf555.44 KiB
3. Jupyter Notebook guide/2.2 Jupyter Cheat Sheet - PC.pdf555.77 KiB
3. Jupyter Notebook guide/3. Jupyter Notebook The Dashboard.mp456.08 MiB
3. Jupyter Notebook guide/3. Jupyter Notebook The Dashboard.srt4.75 KiB
3. Jupyter Notebook guide/4. Jupyter Notebook Run and restart a Notebook.mp453.53 MiB
3. Jupyter Notebook guide/4. Jupyter Notebook Run and restart a Notebook.srt4.57 KiB
3. Jupyter Notebook guide/5. Jupyter Notebook Copy and reorganize code.mp427.42 MiB
3. Jupyter Notebook guide/5. Jupyter Notebook Copy and reorganize code.srt2.82 KiB
3. Jupyter Notebook guide/6. Jupyter Notebook Comment and markdown.mp433.08 MiB
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3. Jupyter Notebook guide/7. Jupyter Notebook Tab + Tab + Shift & Tab.mp482.17 MiB
3. Jupyter Notebook guide/7. Jupyter Notebook Tab + Tab + Shift & Tab.srt9.4 KiB
3. Jupyter Notebook guide/8. What did we learn.mp419.77 MiB
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4. Python Crash Course/1. Introduction.mp424.77 MiB
4. Python Crash Course/1. Introduction.srt1.63 KiB
4. Python Crash Course/10. Other types.mp453.86 MiB
4. Python Crash Course/10. Other types.srt5.11 KiB
4. Python Crash Course/11. Functions.mp459.73 MiB
4. Python Crash Course/11. Functions.srt5.34 KiB
4. Python Crash Course/12. Lambda functions.mp4109.56 MiB
4. Python Crash Course/12. Lambda functions.srt10.8 KiB
4. Python Crash Course/13. Exercises.mp472.71 MiB
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4. Python Crash Course/14. Solutions.mp4164.74 MiB
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4. Python Crash Course/15. New to Python We have all been there.mp472.23 MiB
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4. Python Crash Course/16. What did we learn.mp427 MiB
4. Python Crash Course/16. What did we learn.srt1.76 KiB
4. Python Crash Course/16.1 04 - Python Cheat Sheet.pdf135.6 KiB
4. Python Crash Course/2. Variables and types.mp4157.86 MiB
4. Python Crash Course/2. Variables and types.srt15.8 KiB
4. Python Crash Course/3. The print statement.mp439.35 MiB
4. Python Crash Course/3. The print statement.srt3.77 KiB
4. Python Crash Course/4. Boolean expressions.mp482.59 MiB
4. Python Crash Course/4. Boolean expressions.srt7.85 KiB
4. Python Crash Course/5. If statements.mp474.06 MiB
4. Python Crash Course/5. If statements.srt6.2 KiB
4. Python Crash Course/6. Python lists.mp471.68 MiB
4. Python Crash Course/6. Python lists.srt7.12 KiB
4. Python Crash Course/7. For-loops.mp462.36 MiB
4. Python Crash Course/7. For-loops.srt6.49 KiB
4. Python Crash Course/8. While loops.mp435.63 MiB
4. Python Crash Course/8. While loops.srt3.51 KiB
4. Python Crash Course/9. Python Dictionaries (dict).mp453.99 MiB
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4. Python Crash Course/Download Paid Udemy Courses For Free.url116 B
4. Python Crash Course/GetFreeCourses.Co.url116 B
4. Python Crash Course/How you can help GetFreeCourses.Co.txt182 B
5. Lemonade Stand/1. Introduction.mp428.94 MiB
5. Lemonade Stand/1. Introduction.srt1.57 KiB
5. Lemonade Stand/10. Dividend a story - an easy way to understand them.mp476.94 MiB
5. Lemonade Stand/10. Dividend a story - an easy way to understand them.srt8.44 KiB
5. Lemonade Stand/11. Jupyter Notebook Dividend.mp4180.79 MiB
5. Lemonade Stand/11. Jupyter Notebook Dividend.srt18.96 KiB
5. Lemonade Stand/12. What did we learn.mp455.7 MiB
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5. Lemonade Stand/2. Intrinsic Value.mp477.57 MiB
5. Lemonade Stand/2. Intrinsic Value.srt5.04 KiB
5. Lemonade Stand/3. Introduction to the Lemonade Stand.mp4117.85 MiB
5. Lemonade Stand/3. Introduction to the Lemonade Stand.srt8.18 KiB
5. Lemonade Stand/4. The Lemonade Stand - the easy to understand example.mp499.67 MiB
5. Lemonade Stand/4. The Lemonade Stand - the easy to understand example.srt7.92 KiB
5. Lemonade Stand/5. Jupyter Notebook The Lemonade Stand.mp4193.4 MiB
5. Lemonade Stand/5. Jupyter Notebook The Lemonade Stand.srt23.31 KiB
5. Lemonade Stand/6. Shares.mp4101.17 MiB
5. Lemonade Stand/6. Shares.srt6.5 KiB
5. Lemonade Stand/7. Shares a story - Understand what they really are.mp4121.18 MiB
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5. Lemonade Stand/8. Jupyter Notebook Shares.mp4158.17 MiB
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5. Lemonade Stand/9. Dividend.mp489.41 MiB
5. Lemonade Stand/9. Dividend.srt5.12 KiB
6. Pandas/1. Introduction.mp4137.59 MiB
6. Pandas/1. Introduction.srt9.71 KiB
6. Pandas/1.1 Pandas_Cheat_Sheet.pdf337.8 KiB
6. Pandas/10. Read and Write with Pandas - Part II.mp4156.61 MiB
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6. Pandas/11. Read and Write with Pandas - Part III.mp4155.98 MiB
6. Pandas/11. Read and Write with Pandas - Part III.srt13.97 KiB
6. Pandas/11.1 httpsen.wikipedia.orgwikiList_of_countries_by_past_and_projected_GDP_(PPP).html14 B
6. Pandas/12. Merge - Join - Concatenate - Part I.mp4112.59 MiB
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6. Pandas/12.1 Pandas_Cheat_Sheet.pdf337.8 KiB
6. Pandas/13. Merge - Join - Concatenate - Part II.mp468.43 MiB
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6. Pandas/14. Transpose and clean data.mp4110.79 MiB
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6. Pandas/16. Useful methods to know.mp4111.34 MiB
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6. Pandas/17. Apply - an awesome method to master.mp477.88 MiB
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6. Pandas/18. Exercises.mp474.33 MiB
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6. Pandas/19. Solutions.mp4139.83 MiB
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6. Pandas/2. Introduction to Pandas - a small demonstration.mp4156.46 MiB
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6. Pandas/20. What did we learn.mp447.15 MiB
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6. Pandas/3. Series.mp4159.69 MiB
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7. Intrinsic Value/1. Introduction.mp426.71 MiB
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7. Intrinsic Value/10. Current ratio - Evaluation.mp474.59 MiB
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7. Intrinsic Value/29. Compare it with Current Price.mp4127.87 MiB
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8. Matplotlib/1. Introduction.mp420.95 MiB
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9. Visualization and Excel Export of Financial Data/1. Introduction.mp433.21 MiB
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