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[] Udemy - Python for Finance Investment Fundamentals & Data Analytics

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文件列表

  1. 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4 67MB
  2. 3. Python Variables and Data Types/5. Strings.mp4 58MB
  3. 2. Introduction to programming with Python/7. Installing Python and Jupyter.mp4 54MB
  4. 6. Conditional Statements/4. Else if, for Brief – ELIF.mp4 53MB
  5. 8. Python Sequences/7. Dictionaries.mp4 42MB
  6. 10. Advanced Python tools/14. Sources of Financial Data.mp4 39MB
  7. 7. Python Functions/2. Creating a Function with a Parameter.mp4 38MB
  8. 8. Python Sequences/1. Lists.mp4 38MB
  9. 8. Python Sequences/3. Using Methods.mp4 38MB
  10. 10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4 37MB
  11. 9. Using Iterations in Python/8. Iterating over Dictionaries.mp4 30MB
  12. 8. Python Sequences/6. Tuples.mp4 29MB
  13. 9. Using Iterations in Python/3. While Loops and Incrementing.mp4 28MB
  14. 9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.mp4 28MB
  15. 3. Python Variables and Data Types/1. Variables.mp4 27MB
  16. 9. Using Iterations in Python/4. Create Lists with the range() Function.mp4 26MB
  17. 7. Python Functions/3. Another Way to Define a Function.mp4 25MB
  18. 10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4 24MB
  19. 9. Using Iterations in Python/1. For Loops.mp4 24MB
  20. 6. Conditional Statements/3. Add an ELSE statement.mp4 23MB
  21. 6. Conditional Statements/1. Introduction to the IF statement.mp4 23MB
  22. 6. Conditional Statements/5. A Note on Boolean values.mp4 20MB
  23. 10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4 19MB
  24. 2. Introduction to programming with Python/3. Why Python.mp4 16MB
  25. 16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4 15MB
  26. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4 15MB
  27. 2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4 15MB
  28. 7. Python Functions/1. Defining a Function in Python.mp4 15MB
  29. 7. Python Functions/7. Creating Functions Containing a Few Arguments.mp4 15MB
  30. 2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4 14MB
  31. 4. Basic Python Syntax/12. Structure Your Code with Indentation.mp4 13MB
  32. 1. Welcome! Course Introduction/1. What Does the Course Cover.mp4 13MB
  33. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4 13MB
  34. 2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4 12MB
  35. 14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4 12MB
  36. 4. Basic Python Syntax/7. Add Comments.mp4 11MB
  37. 14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4 11MB
  38. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4 11MB
  39. 12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4 11MB
  40. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.mp4 11MB
  41. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.mp4 10MB
  42. 10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp4 10MB
  43. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/6. Monte Carlo Predicting Gross Profit – Part II.srt 10MB
  44. 13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.mp4 10MB
  45. 13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.mp4 10MB
  46. 10. Advanced Python tools/15. Accessing the Notebook Files.mp4 10MB
  47. 2. Introduction to programming with Python/5. Why Jupyter.mp4 10MB
  48. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.mp4 9MB
  49. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.mp4 9MB
  50. 12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp4 9MB
  51. 16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4 9MB
  52. 14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp4 9MB
  53. 10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp4 9MB
  54. 10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp4 9MB
  55. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.mp4 8MB
  56. 12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp4 8MB
  57. 1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp4 8MB
  58. 10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp4 8MB
  59. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.mp4 8MB
  60. 10. Advanced Python tools/11. Working with arrays.mp4 8MB
  61. 5. Python Operators Continued/3. Logical and Identity Operators.mp4 8MB
  62. 12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp4 8MB
  63. 13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.mp4 8MB
  64. 15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4 8MB
  65. 8. Python Sequences/5. List Slicing.mp4 7MB
  66. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.mp4 7MB
  67. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.mp4 7MB
  68. 12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4 7MB
  69. 10. Advanced Python tools/1. Object Oriented Programming.mp4 7MB
  70. 15. Part II Finance - The Capital Asset Pricing Model/12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.mp4 6MB
  71. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/7. Forecasting Stock Prices with a Monte Carlo Simulation.mp4 6MB
  72. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8. Calculating a Security’s Return in Python – Logarithmic Returns.mp4 6MB
  73. 15. Part II Finance - The Capital Asset Pricing Model/3. Understanding and calculating a security's Beta.mp4 6MB
  74. 15. Part II Finance - The Capital Asset Pricing Model/5. Calculating the Beta of a Stock.mp4 6MB
  75. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1. Considering both risk and return.mp4 6MB
  76. 15. Part II Finance - The Capital Asset Pricing Model/6. The CAPM formula.mp4 6MB
  77. 10. Advanced Python tools/7. Importing Modules.mp4 6MB
  78. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/9. Monte Carlo Forecasting Stock Prices - Part I.mp4 6MB
  79. 12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.mp4 6MB
  80. 7. Python Functions/8. Notable Built-in Functions in Python.mp4 6MB
  81. 12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.mp4 6MB
  82. 12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.mp4 6MB
  83. 13. PART II Finance - Using Regressions for Financial Analysis/1. The fundamentals of simple regression analysis.mp4 6MB
  84. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12. Popular stock indices that can help us understand financial markets.mp4 6MB
  85. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.mp4 5MB
  86. 4. Basic Python Syntax/1. Arithmetic Operators.mp4 5MB
  87. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/6. Monte Carlo Predicting Gross Profit – Part II.mp4 5MB
  88. 12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.mp4 5MB
  89. 3. Python Variables and Data Types/3. Numbers and Boolean Values.mp4 4MB
  90. 12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.mp4 4MB
  91. 7. Python Functions/6. Combining Conditional Statements and Functions.mp4 4MB
  92. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9. What is a portfolio of securities and how to calculate its rate of return.mp4 4MB
  93. 2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.mp4 4MB
  94. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/3. Monte Carlo applied in a Corporate Finance context.mp4 4MB
  95. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/1. The essence of Monte Carlo simulations.mp4 4MB
  96. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3. What are we going to see next.mp4 4MB
  97. 15. Part II Finance - The Capital Asset Pricing Model/8. Calculating the Expected Return of a Stock (CAPM).mp4 4MB
  98. 10. Advanced Python tools/5. The Standard Library.mp4 4MB
  99. 10. Advanced Python tools/12. Generating Random Numbers.mp4 4MB
  100. 14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.mp4 4MB
  101. 15. Part II Finance - The Capital Asset Pricing Model/9. Introducing the Sharpe ratio and how to put it into practice.mp4 4MB
  102. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/18. Monte Carlo Euler Discretization - Part II.mp4 4MB
  103. 5. Python Operators Continued/1. Comparison Operators.mp4 3MB
  104. 9. Using Iterations in Python/7. All In – Conditional Statements, Functions, and Loops.mp4 3MB
  105. 7. Python Functions/5. Using a Function in another Function.mp4 2MB
  106. 15. Part II Finance - The Capital Asset Pricing Model/11. Obtaining the Sharpe ratio in Python.mp4 2MB
  107. 2. Introduction to programming with Python/1.1 Python for Finance - Course Notes - Part I.pdf.pdf 2MB
  108. 2. Introduction to programming with Python/11.1 Python for Finance - Course Notes - Part I.pdf.pdf 2MB
  109. 4. Basic Python Syntax/3. The Double Equality Sign.mp4 2MB
  110. 4. Basic Python Syntax/10. Indexing Elements.mp4 2MB
  111. 10. Advanced Python tools/3. Modules and Packages.mp4 2MB
  112. 4. Basic Python Syntax/5. Reassign Values.mp4 1MB
  113. 14. PART II Finance - Markowitz Portfolio Optimization/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  114. 12. PART II Finance Measuring Investment Risk/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  115. 12. PART II Finance Measuring Investment Risk/6.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  116. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  117. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  118. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  119. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  120. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  121. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  122. 12. PART II Finance Measuring Investment Risk/11.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  123. 12. PART II Finance Measuring Investment Risk/13.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  124. 12. PART II Finance Measuring Investment Risk/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  125. 12. PART II Finance Measuring Investment Risk/8.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  126. 13. PART II Finance - Using Regressions for Financial Analysis/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  127. 13. PART II Finance - Using Regressions for Financial Analysis/4.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  128. 15. Part II Finance - The Capital Asset Pricing Model/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  129. 15. Part II Finance - The Capital Asset Pricing Model/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  130. 15. Part II Finance - The Capital Asset Pricing Model/3.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  131. 15. Part II Finance - The Capital Asset Pricing Model/6.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  132. 15. Part II Finance - The Capital Asset Pricing Model/9.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  133. 16. Part II Finance Multivariate regression analysis/1.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  134. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/1.2 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  135. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  136. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/14.1 Python for Finance Course Notes - Part II.pdf.pdf 1MB
  137. 1. Welcome! Course Introduction/2.1 Python for Finance - FAQ.pdf.pdf 1009KB
  138. 4. Basic Python Syntax/9. Line Continuation.mp4 1007KB
  139. 2. Introduction to programming with Python/9.1 Jupyter_Shortcuts.pdf.pdf 590KB
  140. 10. Advanced Python tools/9.2 47 Packages Exercise.pdf.pdf 256KB
  141. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.2 Indices_Data_1.csv.csv 233KB
  142. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.1 Indices_Data_2.csv.csv 112KB
  143. 14. PART II Finance - Markowitz Portfolio Optimization/3.1 Markowitz_Data.csv.csv 59KB
  144. 14. PART II Finance - Markowitz Portfolio Optimization/4.1 Markowitz_Data.csv.csv 59KB
  145. 14. PART II Finance - Markowitz Portfolio Optimization/5.2 Markowitz_Data.csv.csv 59KB
  146. 15. Part II Finance - The Capital Asset Pricing Model/11.1 CAPM_Data.csv.csv 41KB
  147. 15. Part II Finance - The Capital Asset Pricing Model/5.2 CAPM_Data.csv.csv 41KB
  148. 15. Part II Finance - The Capital Asset Pricing Model/8.1 CAPM_Data.csv.csv 41KB
  149. 3. Python Variables and Data Types/5. Strings.srt 16KB
  150. 14. PART II Finance - Markowitz Portfolio Optimization/1.2 14. Markowitz Efficient frontier.xlsx.xlsx 15KB
  151. 13. PART II Finance - Using Regressions for Financial Analysis/1.2 Housing Data.xlsx.xlsx 14KB
  152. 6. Conditional Statements/4. Else if, for Brief – ELIF.srt 13KB
  153. 13. PART II Finance - Using Regressions for Financial Analysis/3.2 Housing.xlsx.xlsx 10KB
  154. 13. PART II Finance - Using Regressions for Financial Analysis/6.1 Housing.xlsx.xlsx 10KB
  155. 16. Part II Finance Multivariate regression analysis/3.1 Housing.xlsx.xlsx 10KB
  156. 8. Python Sequences/1. Lists.srt 10KB
  157. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.srt 10KB
  158. 2. Introduction to programming with Python/7. Installing Python and Jupyter.srt 9KB
  159. 7. Python Functions/2. Creating a Function with a Parameter.srt 9KB
  160. 8. Python Sequences/7. Dictionaries.srt 8KB
  161. 8. Python Sequences/3. Using Methods.srt 8KB
  162. 10. Advanced Python tools/14. Sources of Financial Data.srt 8KB
  163. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.srt 8KB
  164. 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.srt 8KB
  165. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.srt 8KB
  166. 9. Using Iterations in Python/8. Iterating over Dictionaries.srt 8KB
  167. 2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.srt 8KB
  168. 16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.srt 8KB
  169. 9. Using Iterations in Python/4. Create Lists with the range() Function.srt 8KB
  170. 14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.srt 8KB
  171. 6. Conditional Statements/1. Introduction to the IF statement.srt 8KB
  172. 13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.srt 8KB
  173. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.srt 7KB
  174. 9. Using Iterations in Python/6. Use Conditional Statements and Loops Together.srt 7KB
  175. 12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.srt 7KB
  176. 1. Welcome! Course Introduction/1. What Does the Course Cover.srt 7KB
  177. 12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.srt 7KB
  178. 2. Introduction to programming with Python/3. Why Python.srt 7KB
  179. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.srt 7KB
  180. 10. Advanced Python tools/11. Working with arrays.srt 7KB
  181. 8. Python Sequences/6. Tuples.srt 7KB
  182. 2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.srt 7KB
  183. 16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.srt 7KB
  184. 13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.srt 7KB
  185. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.srt 7KB
  186. 9. Using Iterations in Python/1. For Loops.srt 7KB
  187. 7. Python Functions/3. Another Way to Define a Function.srt 6KB
  188. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6. Calculating a Security’s Rate of Return in Python – Simple Returns – Part I.srt 6KB
  189. 6. Conditional Statements/3. Add an ELSE statement.srt 6KB
  190. 6. Conditional Statements/5. A Note on Boolean values.srt 6KB
  191. 3. Python Variables and Data Types/1. Variables.srt 6KB
  192. 15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).srt 6KB
  193. 10. Advanced Python tools/1. Object Oriented Programming.srt 6KB
  194. 13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.srt 6KB
  195. 14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.srt 6KB
  196. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.srt 6KB
  197. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.srt 6KB
  198. 14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.srt 6KB
  199. 9. Using Iterations in Python/3. While Loops and Incrementing.srt 6KB
  200. 12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.srt 6KB
  201. 10. Advanced Python tools/9. Must-have packages for Finance and Data Science.srt 6KB
  202. 5. Python Operators Continued/3. Logical and Identity Operators.srt 6KB
  203. 8. Python Sequences/5. List Slicing.srt 5KB
  204. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.srt 5KB
  205. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/7. Forecasting Stock Prices with a Monte Carlo Simulation.srt 5KB
  206. 15. Part II Finance - The Capital Asset Pricing Model/6. The CAPM formula.srt 5KB
  207. 7. Python Functions/1. Defining a Function in Python.srt 5KB
  208. 15. Part II Finance - The Capital Asset Pricing Model/12. Measuring alpha and verifying how good (or bad) a portfolio manager is doing.srt 5KB
  209. 15. Part II Finance - The Capital Asset Pricing Model/3. Understanding and calculating a security's Beta.srt 5KB
  210. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.srt 5KB
  211. 10. Advanced Python tools/7. Importing Modules.srt 5KB
  212. 10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.srt 5KB
  213. 12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.srt 5KB
  214. 12. PART II Finance Measuring Investment Risk/8. Measuring the correlation between stocks.srt 5KB
  215. 4. Basic Python Syntax/12. Structure Your Code with Indentation.srt 5KB
  216. 13. PART II Finance - Using Regressions for Financial Analysis/1. The fundamentals of simple regression analysis.srt 5KB
  217. 12. PART II Finance Measuring Investment Risk/4. The benefits of portfolio diversification.srt 5KB
  218. 2. Introduction to programming with Python/5. Why Jupyter.srt 5KB
  219. 10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.srt 5KB
  220. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8. Calculating a Security’s Return in Python – Logarithmic Returns.srt 4KB
  221. 12. PART II Finance Measuring Investment Risk/6. Calculating the covariance between securities.srt 4KB
  222. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/12. Popular stock indices that can help us understand financial markets.srt 4KB
  223. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/7. Calculating a Security’s Rate of Return in Python – Simple Returns – Part II.srt 4KB
  224. 15. Part II Finance - The Capital Asset Pricing Model/5. Calculating the Beta of a Stock.srt 4KB
  225. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/9. Monte Carlo Forecasting Stock Prices - Part I.srt 4KB
  226. 7. Python Functions/8. Notable Built-in Functions in Python.srt 4KB
  227. 4. Basic Python Syntax/1. Arithmetic Operators.srt 4KB
  228. 10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.srt 4KB
  229. 12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.srt 4KB
  230. 4. Basic Python Syntax/7. Add Comments.srt 4KB
  231. 2. Introduction to programming with Python/8. Jupyter’s Interface – the Dashboard.srt 4KB
  232. 3. Python Variables and Data Types/3. Numbers and Boolean Values.srt 4KB
  233. 1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.srt 4KB
  234. 10. Advanced Python tools/5. The Standard Library.srt 4KB
  235. 10. Advanced Python tools/13. A Note on Using Financial Data in Python.srt 4KB
  236. 12. PART II Finance Measuring Investment Risk/13. Understanding Systematic vs. Idiosyncratic risk.srt 4KB
  237. 7. Python Functions/6. Combining Conditional Statements and Functions.srt 4KB
  238. 2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.srt 4KB
  239. 10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.srt 4KB
  240. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/3. What are we going to see next.srt 3KB
  241. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/1. The essence of Monte Carlo simulations.srt 3KB
  242. 10. Advanced Python tools/12. Generating Random Numbers.srt 3KB
  243. 10. Advanced Python tools/15. Accessing the Notebook Files.srt 3KB
  244. 15. Part II Finance - The Capital Asset Pricing Model/9. Introducing the Sharpe ratio and how to put it into practice.srt 3KB
  245. 7. Python Functions/7. Creating Functions Containing a Few Arguments.srt 3KB
  246. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/9. What is a portfolio of securities and how to calculate its rate of return.srt 3KB
  247. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/3. Monte Carlo applied in a Corporate Finance context.srt 3KB
  248. 12. PART II Finance Measuring Investment Risk/12. Calculating Portfolio Risk.srt 3KB
  249. 15. Part II Finance - The Capital Asset Pricing Model/8. Calculating the Expected Return of a Stock (CAPM).srt 3KB
  250. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/18. Monte Carlo Euler Discretization - Part II.srt 3KB
  251. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/1. Considering both risk and return.srt 3KB
  252. 10. Advanced Python tools/21. Restarting the Jupyter Kernel.srt 3KB
  253. 14. PART II Finance - Markowitz Portfolio Optimization/5. Obtaining the Efficient Frontier in Python – Part III.srt 3KB
  254. 5. Python Operators Continued/1. Comparison Operators.srt 2KB
  255. 18. BONUS LECTURE/1. Bonus Lecture Next Steps.html 2KB
  256. 9. Using Iterations in Python/7. All In – Conditional Statements, Functions, and Loops.srt 2KB
  257. 7. Python Functions/5. Using a Function in another Function.srt 2KB
  258. 4. Basic Python Syntax/3. The Double Equality Sign.srt 2KB
  259. 4. Basic Python Syntax/10. Indexing Elements.srt 2KB
  260. 15. Part II Finance - The Capital Asset Pricing Model/11. Obtaining the Sharpe ratio in Python.srt 2KB
  261. 10. Advanced Python tools/3. Modules and Packages.srt 1KB
  262. 4. Basic Python Syntax/5. Reassign Values.srt 1KB
  263. 4. Basic Python Syntax/9. Line Continuation.srt 1KB
  264. Read Me.txt 1KB
  265. [FreeAllCourse.Com].URL 228B
  266. 7. Python Functions/4. Another Way to Define a Function.html 168B
  267. 10. Advanced Python tools/10. Must-have packages - Quiz.html 167B
  268. 10. Advanced Python tools/2. Object Oriented Programming - Quiz.html 167B
  269. 10. Advanced Python tools/4. Modules - Quiz.html 167B
  270. 10. Advanced Python tools/6. The Standard Library - Quiz.html 167B
  271. 10. Advanced Python tools/8. Importing Modules - Quiz.html 167B
  272. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/10. What is a portfolio of securities and how to calculate its rate of return - Quiz.html 167B
  273. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/13. Which of the following is not an index - Quiz.html 167B
  274. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/2. Risk and return - Quiz.html 167B
  275. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/5. Calculating a security's rate of return.html 167B
  276. 12. PART II Finance Measuring Investment Risk/14. Diversifiable Risk - Quiz.html 167B
  277. 12. PART II Finance Measuring Investment Risk/2. Which of the following sentences is true - Quiz.html 167B
  278. 12. PART II Finance Measuring Investment Risk/5. Investing in stocks - Quiz.html 167B
  279. 12. PART II Finance Measuring Investment Risk/7. Covariance - Quiz.html 167B
  280. 12. PART II Finance Measuring Investment Risk/9. Correlation - Quiz.html 167B
  281. 13. PART II Finance - Using Regressions for Financial Analysis/2. Regressions - Quiz.html 167B
  282. 13. PART II Finance - Using Regressions for Financial Analysis/5. Regressions - Quiz.html 167B
  283. 14. PART II Finance - Markowitz Portfolio Optimization/2. Markowitz - Quiz.html 167B
  284. 15. Part II Finance - The Capital Asset Pricing Model/10. Sharpe ratios - Quiz.html 167B
  285. 15. Part II Finance - The Capital Asset Pricing Model/13. Alpha - Quiz.html 167B
  286. 15. Part II Finance - The Capital Asset Pricing Model/2. CAPM - Quiz.html 167B
  287. 15. Part II Finance - The Capital Asset Pricing Model/4. Beta - Quiz.html 167B
  288. 15. Part II Finance - The Capital Asset Pricing Model/7. CAPM - Quiz.html 167B
  289. 16. Part II Finance Multivariate regression analysis/2. Multivariate Regressions - Quiz.html 167B
  290. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/13. Derivatives - Quiz.html 167B
  291. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/16. Using Monte Carlo with Black-Scholes-Merton - Quiz.html 167B
  292. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/2. Monte Carlo - Quiz.html 167B
  293. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/4. Monte Carlo in Corporate Finance - Quiz.html 167B
  294. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/8. Monte Carlo Simulations - Quiz.html 167B
  295. 2. Introduction to programming with Python/10. Jupyter’s Interface.html 167B
  296. 2. Introduction to programming with Python/2. Programming Explained in 5 Minutes.html 167B
  297. 2. Introduction to programming with Python/4. Why Python.html 167B
  298. 2. Introduction to programming with Python/6. Why Jupyter.html 167B
  299. 3. Python Variables and Data Types/2. Variables.html 167B
  300. 3. Python Variables and Data Types/4. Numbers and Boolean Values.html 167B
  301. 3. Python Variables and Data Types/6. Strings.html 167B
  302. 4. Basic Python Syntax/11. Indexing Elements.html 167B
  303. 4. Basic Python Syntax/13. Structure Your Code with Indentation.html 167B
  304. 4. Basic Python Syntax/2. Arithmetic Operators.html 167B
  305. 4. Basic Python Syntax/4. The Double Equality Sign.html 167B
  306. 4. Basic Python Syntax/6. Reassign values.html 167B
  307. 4. Basic Python Syntax/8. Add Comments.html 167B
  308. 5. Python Operators Continued/2. Comparison Operators.html 167B
  309. 5. Python Operators Continued/4. Logical and Identity Operators.html 167B
  310. 6. Conditional Statements/2. Introduction to the IF statement.html 167B
  311. 6. Conditional Statements/6. A Note on Boolean Values.html 167B
  312. 7. Python Functions/9. Functions.html 167B
  313. 8. Python Sequences/2. Lists.html 167B
  314. 8. Python Sequences/4. Using Methods.html 167B
  315. 8. Python Sequences/8. Dictionaries.html 167B
  316. 9. Using Iterations in Python/2. For Loops.html 167B
  317. 9. Using Iterations in Python/5. Create Lists with the range() Function.html 167B
  318. 1. Welcome! Course Introduction/2.2 Course Resources.html 134B
  319. 10. Advanced Python tools/11.1 Working with arrays - Resources.html 134B
  320. 10. Advanced Python tools/12.1 Generating Random Numbers - Resources.html 134B
  321. 10. Advanced Python tools/16.1 Importing Data - Part I.html 134B
  322. 10. Advanced Python tools/17.1 Importing and Organizing Data in Python – Resources.html 134B
  323. 10. Advanced Python tools/18.1 Importing and Organizing Data in Python – Resources.html 134B
  324. 10. Advanced Python tools/19.1 Importing and Organizing Data in Python – Resources.html 134B
  325. 10. Advanced Python tools/20.1 Changing the Index of Your Time-Series - Resources.html 134B
  326. 10. Advanced Python tools/21.1 Restarting the Jupyter Kernel - Resources.html 134B
  327. 10. Advanced Python tools/7.1 Importing Modules - Resources.html 134B
  328. 10. Advanced Python tools/9.1 Must have packages for Finance and Data Science.html 134B
  329. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11.1 Calculating the Return of a Portfolio of Securities - Resources.html 134B
  330. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14.3 Calculating the Return of Indices - Resources.html 134B
  331. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/6.1 Simple Returns - Part I - Resources.html 134B
  332. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/7.1 Simple Returns - Part II - Resources.html 134B
  333. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/8.1 Logarithmic Returns - Resources.html 134B
  334. 12. PART II Finance Measuring Investment Risk/10.1 Calculating Covariance and Correlation - Resources.html 134B
  335. 12. PART II Finance Measuring Investment Risk/12.1 Calculating Portfolio Risk - Resources.html 134B
  336. 12. PART II Finance Measuring Investment Risk/15.1 Diversifiable and Non-Diversifiable Risk - Resources.html 134B
  337. 12. PART II Finance Measuring Investment Risk/3.1 Calculating the Risk of a Security - Resources.html 134B
  338. 13. PART II Finance - Using Regressions for Financial Analysis/3.1 Running a Regression in Python - Resources.html 134B
  339. 13. PART II Finance - Using Regressions for Financial Analysis/6.2 Computing Alpha, Beta, and R Squared in Python - Resources.html 134B
  340. 14. PART II Finance - Markowitz Portfolio Optimization/3.2 Obtaining the Efficient Frontier in Python - Part I - Resources.html 134B
  341. 14. PART II Finance - Markowitz Portfolio Optimization/4.2 Obtaining the Efficient Frontier in Python - Part II - Resources.html 134B
  342. 14. PART II Finance - Markowitz Portfolio Optimization/5.1 Obtaining the Efficient Frontier in Python - Part III - Resources.html 134B
  343. 15. Part II Finance - The Capital Asset Pricing Model/11.2 Estimating the Sharpe Ratio in Python - Resources.html 134B
  344. 15. Part II Finance - The Capital Asset Pricing Model/5.1 Calculating the Beta of a Stock - Resources.html 134B
  345. 15. Part II Finance - The Capital Asset Pricing Model/8.2 Calculating the Expected Return of a Stock (CAPM) - Resources.html 134B
  346. 16. Part II Finance Multivariate regression analysis/3.2 Running a Multivariate Regression in Python - Resources.html 134B
  347. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/1.1 The Essence of Monte Carlo Simulations - Resources.html 134B
  348. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/10.1 Predicting Stock Prices - Part II - Resources.html 134B
  349. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/11.1 Predicting Stock Prices - Part III - Resources.html 134B
  350. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15.1 Monte Carlo Black-Scholes-Merton Resources.html 134B
  351. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17.1 Monte Carlo - Euler Discretization - Part I - Resources.html 134B
  352. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/18.1 Monte Carlo - Euler Discretization - Part II - Resources.html 134B
  353. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5.1 Monte Carlo - Predicting Gross Profit - Part I - Resources.html 134B
  354. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/6.1 Monte Carlo - Predicting Gross Profit - Part II - Resources.html 134B
  355. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/9.1 Monte Carlo - Predicting Stock Prices - Part I - Resources.html 134B
  356. 3. Python Variables and Data Types/1.1 Variables - Resources.html 134B
  357. 3. Python Variables and Data Types/3.1 Numbers and Boolean Values - Resources.html 134B
  358. 3. Python Variables and Data Types/5.1 Strings - Resources.html 134B
  359. 4. Basic Python Syntax/1.1 Arithmetic Operators - Resources.html 134B
  360. 4. Basic Python Syntax/10.1 Indexing Elements - Resources.html 134B
  361. 4. Basic Python Syntax/12.1 Structure Your Code with Indentation - Resources.html 134B
  362. 4. Basic Python Syntax/3.1 The Double Equality Sign - Resources.html 134B
  363. 4. Basic Python Syntax/5.1 Reassign Values - Resources.html 134B
  364. 4. Basic Python Syntax/7.1 Add Comments - Resources.html 134B
  365. 4. Basic Python Syntax/9.1 Line Continuation - Resources.html 134B
  366. 5. Python Operators Continued/1.1 Comparison Operators - Resources.html 134B
  367. 5. Python Operators Continued/3.1 Logical and Identity Operators - Resources.html 134B
  368. 6. Conditional Statements/1.1 Introduction to the If Statement - Resources.html 134B
  369. 6. Conditional Statements/3.1 Add an Else Statement - Resources.html 134B
  370. 6. Conditional Statements/4.1 Else if, for Brief - Elif - Resources.html 134B
  371. 6. Conditional Statements/5.1 A Note on Boolean Values - Resources.html 134B
  372. 7. Python Functions/1.1 Defining a Function in Python - Resources.html 134B
  373. 7. Python Functions/2.1 Creating a Function with a Parameter - Resources.html 134B
  374. 7. Python Functions/3.1 Another Way to Define a Function - Resources.html 134B
  375. 7. Python Functions/5.1 Using a Function in Another Function - Resources.html 134B
  376. 7. Python Functions/6.1 Combining Conditional Statements and Functions - Resources.html 134B
  377. 7. Python Functions/7.1 Creating Functions Containing a Few Arguments - Resources.html 134B
  378. 7. Python Functions/8.1 Notable Built-In Functions in Python - Resources.html 134B
  379. 8. Python Sequences/1.1 Lists - Resources.html 134B
  380. 8. Python Sequences/3.1 Using Methods - Resources.html 134B
  381. 8. Python Sequences/5.1 List Slicing - Resources.html 134B
  382. 8. Python Sequences/6.1 Tuples - Resources.html 134B
  383. 8. Python Sequences/7.1 Dictionaries - Resources.html 134B
  384. 9. Using Iterations in Python/1.1 For Loops - Resources.html 134B
  385. 9. Using Iterations in Python/3.1 While Loops and Incrementing - Resources.html 134B
  386. 9. Using Iterations in Python/4.1 Create Lists with the range() Function - Resources.html 134B
  387. 9. Using Iterations in Python/6.1 Use Conditional Statements and Loops Together - Resources.html 134B
  388. 9. Using Iterations in Python/7.1 All In - Conditional Statements, Functions, and Loops - Resources.html 134B
  389. 9. Using Iterations in Python/8.1 Iterating over Dictionaries - Resources.html 134B