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

FreeCourseSiteUdemyPythonFinanceInvestmentFundamentalsDataAnalytics

种子大小：984.91 MB

收录时间：2019-02-15

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文件列表：385File

  1. 10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp466.6 MB
  2. 2. Introduction to programming with Python/7. Installing Python and Jupyter.mp454.43 MB
  3. 10. Advanced Python tools/14. Sources of Financial Data.mp438.76 MB
  4. 10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp436.82 MB
  5. 3. Python Variables and Data Types/1. Variables.mp426.61 MB
  6. 10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp424.05 MB
  7. 10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp418.82 MB
  8. 2. Introduction to programming with Python/3. Why Python.mp415.66 MB
  9. 16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp415.39 MB
  10. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp415.14 MB
  11. 2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp414.9 MB
  12. 2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp413.58 MB
  13. 1. Welcome! Course Introduction/1. What Does the Course Cover.mp413.06 MB
  14. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp413.03 MB
  15. 2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp412.31 MB
  16. 14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp411.6 MB
  17. 14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp410.83 MB
  18. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp410.82 MB
  19. 12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp410.76 MB
  20. 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.mp410.55 MB
  21. 10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp410.19 MB
  22. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.mp410.19 MB
  23. 13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.mp410.04 MB
  24. 13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.mp410.03 MB
  25. 10. Advanced Python tools/15. Accessing the Notebook Files.mp49.95 MB
  26. 2. Introduction to programming with Python/5. Why Jupyter.mp49.86 MB
  27. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.mp49.35 MB
  28. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.mp49.31 MB
  29. 12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp49.3 MB
  30. 16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp49.23 MB
  31. 3. Python Variables and Data Types/5. Strings.mp49.07 MB
  32. 14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp48.8 MB
  33. 10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp48.72 MB
  34. 10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp48.63 MB
  35. 11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.mp48.38 MB
  36. 12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp48.38 MB
  37. 1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp48.21 MB
  38. 6. Conditional Statements/4. Else if, for Brief – ELIF.mp48.15 MB
  39. 10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp48.05 MB
  40. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.mp47.99 MB
  41. 10. Advanced Python tools/11. Working with arrays.mp47.9 MB
  42. 5. Python Operators Continued/3. Logical and Identity Operators.mp47.87 MB
  43. 12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp47.74 MB
  44. 13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.mp47.65 MB
  45. 15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp47.52 MB
  46. 8. Python Sequences/5. List Slicing.mp47.35 MB
  47. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.mp47.1 MB
  48. 17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.mp47.06 MB
  49. 12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp47.04 MB
  50. 10. Advanced Python tools/1. Object Oriented Programming.mp46.88 MB
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