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  1. 1. Introduction/1. One Question.mp4 43.2 MB
  2. 1. Introduction/1. One Question.srt 3.1 KB
  3. 1. Introduction/2. Get the most out of this course.mp4 75.2 MB
  4. 1. Introduction/2. Get the most out of this course.srt 5.5 KB
  5. 10. Data Sources/1. Introduction.mp4 20.2 MB
  6. 10. Data Sources/1. Introduction.srt 1.2 KB
  7. 10. Data Sources/10. Exercises.mp4 57.1 MB
  8. 10. Data Sources/10. Exercises.srt 5.4 KB
  9. 10. Data Sources/11. Solutions.mp4 166.3 MB
  10. 10. Data Sources/11. Solutions.srt 16.7 KB
  11. 10. Data Sources/12. What did we learn.mp4 25.0 MB
  12. 10. Data Sources/12. What did we learn.srt 1.7 KB
  13. 10. Data Sources/2. What will we learn.mp4 65.9 MB
  14. 10. Data Sources/2. What will we learn.srt 4.2 KB
  15. 10. Data Sources/3. Pandas Datareader - Remote Data Access for Pandas.mp4 32.9 MB
  16. 10. Data Sources/3. Pandas Datareader - Remote Data Access for Pandas.srt 2.2 KB
  17. 10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.mp4 249.4 MB
  18. 10. Data Sources/4. Jupyter Notebook Pandas Datareader - Part I.srt 26.5 KB
  19. 10. Data Sources/5. Jupyter Notebook Pandas Datareader - Part II.mp4 121.7 MB
  20. 10. Data Sources/5. Jupyter Notebook Pandas Datareader - Part II.srt 15.0 KB
  21. 10. Data Sources/6. The Yahoo! Finance API - read Financial Statements.mp4 53.6 MB
  22. 10. Data Sources/6. The Yahoo! Finance API - read Financial Statements.srt 3.9 KB
  23. 10. Data Sources/7. Jupyter Notebook Yahoo! Finance - Financial Statements.mp4 164.9 MB
  24. 10. Data Sources/7. Jupyter Notebook Yahoo! Finance - Financial Statements.srt 18.9 KB
  25. 10. Data Sources/8. Web Scraping.mp4 58.6 MB
  26. 10. Data Sources/8. Web Scraping.srt 4.0 KB
  27. 10. Data Sources/9. Jupyter Notebook Web Scraping.mp4 211.6 MB
  28. 10. Data Sources/9. Jupyter Notebook Web Scraping.srt 23.3 KB
  29. 11. Time Series Data/1. Introduction.mp4 71.1 MB
  30. 11. Time Series Data/1. Introduction.srt 5.3 KB
  31. 11. Time Series Data/2. Rate of Return, Percentage Change, and Normalization.mp4 121.9 MB
  32. 11. Time Series Data/2. Rate of Return, Percentage Change, and Normalization.srt 8.3 KB
  33. 11. Time Series Data/3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.mp4 136.0 MB
  34. 11. Time Series Data/3. Jupyter Notebook Rate of Return, Percentage Change, and Normalization.srt 14.7 KB
  35. 11. Time Series Data/4. CAGR.mp4 41.5 MB
  36. 11. Time Series Data/4. CAGR.srt 2.8 KB
  37. 11. Time Series Data/5. Jupyter Notebook CAGR.mp4 103.4 MB
  38. 11. Time Series Data/5. Jupyter Notebook CAGR.srt 11.9 KB
  39. 11. Time Series Data/6. Jupyter Notebook Multiple Time Frames.mp4 105.1 MB
  40. 11. Time Series Data/6. Jupyter Notebook Multiple Time Frames.srt 11.3 KB
  41. 11. Time Series Data/7. Case Study DOW Theory.mp4 323.6 MB
  42. 11. Time Series Data/7. Case Study DOW Theory.srt 24.9 KB
  43. 11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.mp4 193.7 MB
  44. 11. Time Series Data/8. Jupyter Notebook Case Study DOW Theory.srt 22.0 KB
  45. 11. Time Series Data/9. What did we learn.mp4 29.3 MB
  46. 11. Time Series Data/9. What did we learn.srt 2.2 KB
  47. 12. Technical Indicators/1. Introduction.mp4 53.8 MB
  48. 12. Technical Indicators/1. Introduction.srt 3.6 KB
  49. 12. Technical Indicators/10. Jupyter Notebook Exporting to Excel.mp4 245.6 MB
  50. 12. Technical Indicators/10. Jupyter Notebook Exporting to Excel.srt 27.3 KB
  51. 12. Technical Indicators/11. Jupyter Notebook Using our Excel Sheet.mp4 143.4 MB
  52. 12. Technical Indicators/11. Jupyter Notebook Using our Excel Sheet.srt 15.4 KB
  53. 12. Technical Indicators/12. Exercises.mp4 79.7 MB
  54. 12. Technical Indicators/12. Exercises.srt 9.0 KB
  55. 12. Technical Indicators/13. Solutions.mp4 138.5 MB
  56. 12. Technical Indicators/13. Solutions.srt 13.1 KB
  57. 12. Technical Indicators/14. What did we learn.mp4 18.2 MB
  58. 12. Technical Indicators/14. What did we learn.srt 1.1 KB
  59. 12. Technical Indicators/2. What is a Technical Indicator and Types of Indicators.mp4 147.5 MB
  60. 12. Technical Indicators/2. What is a Technical Indicator and Types of Indicators.srt 9.7 KB
  61. 12. Technical Indicators/3. Indicator Moving Average.mp4 103.2 MB
  62. 12. Technical Indicators/3. Indicator Moving Average.srt 7.0 KB
  63. 12. Technical Indicators/4. Jupyter Notebook Simple Moving Average (MA).mp4 184.5 MB
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  65. 12. Technical Indicators/5. Jupyter Notebook Exponential Moving Average (EMA).mp4 92.9 MB
  66. 12. Technical Indicators/5. Jupyter Notebook Exponential Moving Average (EMA).srt 10.3 KB
  67. 12. Technical Indicators/6. Indicator MACD.mp4 89.8 MB
  68. 12. Technical Indicators/6. Indicator MACD.srt 6.0 KB
  69. 12. Technical Indicators/7. Jupyter Notebook MACD.mp4 155.8 MB
  70. 12. Technical Indicators/7. Jupyter Notebook MACD.srt 17.5 KB
  71. 12. Technical Indicators/8. Indicator Stochastic Oscillator.mp4 78.8 MB
  72. 12. Technical Indicators/8. Indicator Stochastic Oscillator.srt 5.4 KB
  73. 12. Technical Indicators/9. Jupyter Notebook Stochastic Oscillator.mp4 170.3 MB
  74. 12. Technical Indicators/9. Jupyter Notebook Stochastic Oscillator.srt 18.2 KB
  75. 12. Technical Indicators/Download Paid Udemy Courses For Free.url 116 bytes
  76. 12. Technical Indicators/GetFreeCourses.Co.url 116 bytes
  77. 12. Technical Indicators/How you can help GetFreeCourses.Co.txt 182 bytes
  78. 13. NumPy/1. Introduction.mp4 121.1 MB
  79. 13. NumPy/1. Introduction.srt 7.9 KB
  80. 13. NumPy/10. What did we learn.mp4 49.2 MB
  81. 13. NumPy/10. What did we learn.srt 3.1 KB
  82. 13. NumPy/2. Jupyter Notebook Introduction to NumPy.mp4 155.0 MB
  83. 13. NumPy/2. Jupyter Notebook Introduction to NumPy.srt 21.1 KB
  84. 13. NumPy/3. Jupyter Notebook Index, Slicing, and Views.mp4 124.5 MB
  85. 13. NumPy/3. Jupyter Notebook Index, Slicing, and Views.srt 15.0 KB
  86. 13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.mp4 172.5 MB
  87. 13. NumPy/4. Jupyter Notebook DataFrames and Series with NumPy.srt 20.2 KB
  88. 13. NumPy/5. Jupyter Notebook Vectorization with NumPy.mp4 139.8 MB
  89. 13. NumPy/5. Jupyter Notebook Vectorization with NumPy.srt 14.6 KB
  90. 13. NumPy/6. Jupyter Notebook Matplotlib and NumPy.mp4 126.8 MB
  91. 13. NumPy/6. Jupyter Notebook Matplotlib and NumPy.srt 13.5 KB
  92. 13. NumPy/7. Jupyter Notebook Dot product and Transpose.mp4 156.5 MB
  93. 13. NumPy/7. Jupyter Notebook Dot product and Transpose.srt 15.7 KB
  94. 13. NumPy/8. Exercises.mp4 85.9 MB
  95. 13. NumPy/8. Exercises.srt 9.5 KB
  96. 13. NumPy/9. Solutions.mp4 144.5 MB
  97. 13. NumPy/9. Solutions.srt 14.7 KB
  98. 14. Correlation and Linear Regression/1. Introduction.mp4 30.8 MB
  99. 14. Correlation and Linear Regression/1. Introduction.srt 2.4 KB
  100. 14. Correlation and Linear Regression/10. Jupyter Notebook Beta Calculations.mp4 109.4 MB
  101. 14. Correlation and Linear Regression/10. Jupyter Notebook Beta Calculations.srt 13.6 KB
  102. 14. Correlation and Linear Regression/11. CAPM.mp4 88.0 MB
  103. 14. Correlation and Linear Regression/11. CAPM.srt 6.0 KB
  104. 14. Correlation and Linear Regression/12. Jupyter Notebook CAPM Calculations.mp4 105.2 MB
  105. 14. Correlation and Linear Regression/12. Jupyter Notebook CAPM Calculations.srt 12.3 KB
  106. 14. Correlation and Linear Regression/13. Exercises.mp4 55.4 MB
  107. 14. Correlation and Linear Regression/13. Exercises.srt 6.1 KB
  108. 14. Correlation and Linear Regression/14. Solutions.mp4 107.1 MB
  109. 14. Correlation and Linear Regression/14. Solutions.srt 10.9 KB
  110. 14. Correlation and Linear Regression/15. What did we learn.mp4 39.6 MB
  111. 14. Correlation and Linear Regression/15. What did we learn.srt 2.5 KB
  112. 14. Correlation and Linear Regression/2. Adjusted Close.mp4 48.0 MB
  113. 14. Correlation and Linear Regression/2. Adjusted Close.srt 3.5 KB
  114. 14. Correlation and Linear Regression/3. Volatility of a Stock.mp4 106.6 MB
  115. 14. Correlation and Linear Regression/3. Volatility of a Stock.srt 7.3 KB
  116. 14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.mp4 213.3 MB
  117. 14. Correlation and Linear Regression/4. Jupyter Notebook Volatility Calculations.srt 27.7 KB
  118. 14. Correlation and Linear Regression/5. Correlation Between Securities.mp4 45.2 MB
  119. 14. Correlation and Linear Regression/5. Correlation Between Securities.srt 2.8 KB
  120. 14. Correlation and Linear Regression/6. Jupyter Notebook Correlation Calculations.mp4 94.0 MB
  121. 14. Correlation and Linear Regression/6. Jupyter Notebook Correlation Calculations.srt 11.6 KB
  122. 14. Correlation and Linear Regression/7. Linear Regression.mp4 72.4 MB
  123. 14. Correlation and Linear Regression/7. Linear Regression.srt 4.8 KB
  124. 14. Correlation and Linear Regression/8. Jupyter Notebook Linear Regression.mp4 169.4 MB
  125. 14. Correlation and Linear Regression/8. Jupyter Notebook Linear Regression.srt 19.7 KB
  126. 14. Correlation and Linear Regression/9. Beta.mp4 42.6 MB
  127. 14. Correlation and Linear Regression/9. Beta.srt 2.9 KB
  128. 15. Working with Portfolios and Monte Carlo Simulations/1. Introduction.mp4 30.8 MB
  129. 15. Working with Portfolios and Monte Carlo Simulations/1. Introduction.srt 1.9 KB
  130. 15. Working with Portfolios and Monte Carlo Simulations/10. Exercises.mp4 58.6 MB
  131. 15. Working with Portfolios and Monte Carlo Simulations/10. Exercises.srt 7.1 KB
  132. 15. Working with Portfolios and Monte Carlo Simulations/11. Solutions.mp4 155.1 MB
  133. 15. Working with Portfolios and Monte Carlo Simulations/11. Solutions.srt 18.7 KB
  134. 15. Working with Portfolios and Monte Carlo Simulations/12. What did we learn.mp4 32.4 MB
  135. 15. Working with Portfolios and Monte Carlo Simulations/12. What did we learn.srt 2.2 KB
  136. 15. Working with Portfolios and Monte Carlo Simulations/2. Portfolios.mp4 28.6 MB
  137. 15. Working with Portfolios and Monte Carlo Simulations/2. Portfolios.srt 2.0 KB
  138. 15. Working with Portfolios and Monte Carlo Simulations/3. Jupyter Notebook Portfolio.mp4 135.9 MB
  139. 15. Working with Portfolios and Monte Carlo Simulations/3. Jupyter Notebook Portfolio.srt 15.4 KB
  140. 15. Working with Portfolios and Monte Carlo Simulations/4. Sharpe Ratio.mp4 54.2 MB
  141. 15. Working with Portfolios and Monte Carlo Simulations/4. Sharpe Ratio.srt 3.7 KB
  142. 15. Working with Portfolios and Monte Carlo Simulations/5. Jupyter Notebook Sharpe Ratio Calculations.mp4 126.6 MB
  143. 15. Working with Portfolios and Monte Carlo Simulations/5. Jupyter Notebook Sharpe Ratio Calculations.srt 15.8 KB
  144. 15. Working with Portfolios and Monte Carlo Simulations/6. Monte Carlo Simulations.mp4 78.1 MB
  145. 15. Working with Portfolios and Monte Carlo Simulations/6. Monte Carlo Simulations.srt 5.0 KB
  146. 15. Working with Portfolios and Monte Carlo Simulations/7. Jupyter Notebook Monte Carlo Simulations - Introduction.mp4 154.9 MB
  147. 15. Working with Portfolios and Monte Carlo Simulations/7. Jupyter Notebook Monte Carlo Simulations - Introduction.srt 21.2 KB
  148. 15. Working with Portfolios and Monte Carlo Simulations/8. Jupyter Notebook Portfolios and Monte Carlo Simulations.mp4 157.8 MB
  149. 15. Working with Portfolios and Monte Carlo Simulations/8. Jupyter Notebook Portfolios and Monte Carlo Simulations.srt 19.4 KB
  150. 15. Working with Portfolios and Monte Carlo Simulations/9. Jupyter Notebook The Efficient Frontier.mp4 64.0 MB
  151. 15. Working with Portfolios and Monte Carlo Simulations/9. Jupyter Notebook The Efficient Frontier.srt 6.9 KB
  152. 16. Finish Line/1. Introduction.mp4 20.0 MB
  153. 16. Finish Line/1. Introduction.srt 1.3 KB
  154. 16. Finish Line/2. 3 Books to Read.mp4 231.8 MB
  155. 16. Finish Line/2. 3 Books to Read.srt 18.5 KB
  156. 16. Finish Line/3. Goodbye.mp4 44.9 MB
  157. 16. Finish Line/3. Goodbye.srt 2.9 KB
  158. 2. Setup/1. Introduction.mp4 10.9 MB
  159. 2. Setup/1. Introduction.srt 594 bytes
  160. 2. Setup/2. Download Anaconda (includes Python and Jupyter notebook).mp4 23.6 MB
  161. 2. Setup/2. Download Anaconda (includes Python and Jupyter notebook).srt 2.1 KB
  162. 2. Setup/2.1 Installation guides.html 104 bytes
  163. 2. Setup/2.2 Download link to Anaconda.html 105 bytes
  164. 2. Setup/3. Resources and setup environment in Jupyter notebook.mp4 74.2 MB
  165. 2. Setup/3. Resources and setup environment in Jupyter notebook.srt 5.7 KB
  166. 2. Setup/3.1 PyFinance.zip 19.0 MB
  167. 2. Setup/3.2 Link to PyFinance.zip on Google Drive.html 143 bytes
  168. 2. Setup/4. Prompt rating.mp4 12.2 MB
  169. 2. Setup/4. Prompt rating.srt 986 bytes
  170. 3. Jupyter Notebook guide/1. Introduction.mp4 20.1 MB
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  172. 3. Jupyter Notebook guide/2. Jupyter Notebook Cheat Sheet..html 77 bytes
  173. 3. Jupyter Notebook guide/2.1 Jupyter Cheat Sheet - MAC.pdf 555.4 KB
  174. 3. Jupyter Notebook guide/2.2 Jupyter Cheat Sheet - PC.pdf 555.8 KB
  175. 3. Jupyter Notebook guide/3. Jupyter Notebook The Dashboard.mp4 56.1 MB
  176. 3. Jupyter Notebook guide/3. Jupyter Notebook The Dashboard.srt 4.8 KB
  177. 3. Jupyter Notebook guide/4. Jupyter Notebook Run and restart a Notebook.mp4 53.5 MB
  178. 3. Jupyter Notebook guide/4. Jupyter Notebook Run and restart a Notebook.srt 4.6 KB
  179. 3. Jupyter Notebook guide/5. Jupyter Notebook Copy and reorganize code.mp4 27.4 MB
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  181. 3. Jupyter Notebook guide/6. Jupyter Notebook Comment and markdown.mp4 33.1 MB
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  183. 3. Jupyter Notebook guide/7. Jupyter Notebook Tab + Tab + Shift & Tab.mp4 82.2 MB
  184. 3. Jupyter Notebook guide/7. Jupyter Notebook Tab + Tab + Shift & Tab.srt 9.4 KB
  185. 3. Jupyter Notebook guide/8. What did we learn.mp4 19.8 MB
  186. 3. Jupyter Notebook guide/8. What did we learn.srt 1.2 KB
  187. 4. Python Crash Course/1. Introduction.mp4 24.8 MB
  188. 4. Python Crash Course/1. Introduction.srt 1.6 KB
  189. 4. Python Crash Course/10. Other types.mp4 53.9 MB
  190. 4. Python Crash Course/10. Other types.srt 5.1 KB
  191. 4. Python Crash Course/11. Functions.mp4 59.7 MB
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  193. 4. Python Crash Course/12. Lambda functions.mp4 109.6 MB
  194. 4. Python Crash Course/12. Lambda functions.srt 10.8 KB
  195. 4. Python Crash Course/13. Exercises.mp4 72.7 MB
  196. 4. Python Crash Course/13. Exercises.srt 7.5 KB
  197. 4. Python Crash Course/14. Solutions.mp4 164.7 MB
  198. 4. Python Crash Course/14. Solutions.srt 19.0 KB
  199. 4. Python Crash Course/15. New to Python We have all been there.mp4 72.2 MB
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  201. 4. Python Crash Course/16. What did we learn.mp4 27.0 MB
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  206. 4. Python Crash Course/3. The print statement.mp4 39.4 MB
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  208. 4. Python Crash Course/4. Boolean expressions.mp4 82.6 MB
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  212. 4. Python Crash Course/6. Python lists.mp4 71.7 MB
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  214. 4. Python Crash Course/7. For-loops.mp4 62.4 MB
  215. 4. Python Crash Course/7. For-loops.srt 6.5 KB
  216. 4. Python Crash Course/8. While loops.mp4 35.6 MB
  217. 4. Python Crash Course/8. While loops.srt 3.5 KB
  218. 4. Python Crash Course/9. Python Dictionaries (dict).mp4 54.0 MB
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  220. 4. Python Crash Course/Download Paid Udemy Courses For Free.url 116 bytes
  221. 4. Python Crash Course/GetFreeCourses.Co.url 116 bytes
  222. 4. Python Crash Course/How you can help GetFreeCourses.Co.txt 182 bytes
  223. 5. Lemonade Stand/1. Introduction.mp4 28.9 MB
  224. 5. Lemonade Stand/1. Introduction.srt 1.6 KB
  225. 5. Lemonade Stand/10. Dividend a story - an easy way to understand them.mp4 76.9 MB
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  227. 5. Lemonade Stand/11. Jupyter Notebook Dividend.mp4 180.8 MB
  228. 5. Lemonade Stand/11. Jupyter Notebook Dividend.srt 19.0 KB
  229. 5. Lemonade Stand/12. What did we learn.mp4 55.7 MB
  230. 5. Lemonade Stand/12. What did we learn.srt 3.0 KB
  231. 5. Lemonade Stand/2. Intrinsic Value.mp4 77.6 MB
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  233. 5. Lemonade Stand/3. Introduction to the Lemonade Stand.mp4 117.9 MB
  234. 5. Lemonade Stand/3. Introduction to the Lemonade Stand.srt 8.2 KB
  235. 5. Lemonade Stand/4. The Lemonade Stand - the easy to understand example.mp4 99.7 MB
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  237. 5. Lemonade Stand/5. Jupyter Notebook The Lemonade Stand.mp4 193.4 MB
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  239. 5. Lemonade Stand/6. Shares.mp4 101.2 MB
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  248. 6. Pandas/1. Introduction.srt 9.7 KB
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  250. 6. Pandas/10. Read and Write with Pandas - Part II.mp4 156.6 MB
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  254. 6. Pandas/11.1 httpsen.wikipedia.orgwikiList_of_countries_by_past_and_projected_GDP_(PPP).html 140 bytes
  255. 6. Pandas/12. Merge - Join - Concatenate - Part I.mp4 112.6 MB
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  268. 6. Pandas/18. Exercises.mp4 74.3 MB
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  270. 6. Pandas/19. Solutions.mp4 139.8 MB
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  272. 6. Pandas/2. Introduction to Pandas - a small demonstration.mp4 156.5 MB
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  274. 6. Pandas/20. What did we learn.mp4 47.1 MB
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  276. 6. Pandas/3. Series.mp4 159.7 MB
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  284. 6. Pandas/7. DataFrames - Part IV.mp4 98.7 MB
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  288. 6. Pandas/9. Read and Write with Pandas - Part I.mp4 165.7 MB
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  290. 7. Intrinsic Value/1. Introduction.mp4 26.7 MB
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  383. 8. Matplotlib/Download Paid Udemy Courses For Free.url 116 bytes
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  386. 9. Visualization and Excel Export of Financial Data/1. Introduction.mp4 33.2 MB
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  395. 9. Visualization and Excel Export of Financial Data/5. Export to Excel - Part II.mp4 249.2 MB
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  397. 9. Visualization and Excel Export of Financial Data/6. Export to Excel - Part III.mp4 126.3 MB
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  399. 9. Visualization and Excel Export of Financial Data/7. What did we learn.mp4 44.1 MB
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  401. Download Paid Udemy Courses For Free.url 116 bytes
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  403. How you can help GetFreeCourses.Co.txt 182 bytes

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