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

 打开连接 复制链接 在线云播 种子下载
文件大小：984.91 MB
创建日期：2019-02-15
相关链接：FreeCourseSiteUdemyPythonFinanceInvestmentFundamentalsDataAnalytics

文件列表385

  •  10. Advanced Python tools/17. Importing and Organizing Data in Python – part II.A.mp4  66.6 MB
  •  2. Introduction to programming with Python/7. Installing Python and Jupyter.mp4  54.43 MB
  •  10. Advanced Python tools/14. Sources of Financial Data.mp4  38.76 MB
  •  10. Advanced Python tools/18. Importing and Organizing Data in Python – part II.B.mp4  36.82 MB
  •  3. Python Variables and Data Types/1. Variables.mp4  26.61 MB
  •  10. Advanced Python tools/16. Importing and Organizing Data in Python – part I.mp4  24.05 MB
  •  10. Advanced Python tools/13. A Note on Using Financial Data in Python.mp4  18.82 MB
  •  2. Introduction to programming with Python/3. Why Python.mp4  15.66 MB
  •  16. Part II Finance Multivariate regression analysis/3. Running a multivariate regression in Python.mp4  15.39 MB
  •  11. PART II FINANCE Calculating and Comparing Rates of Return in Python/11. Calculating a Portfolio of Securities' Rate of Return.mp4  15.14 MB
  •  2. Introduction to programming with Python/1. Programming Explained in 5 Minutes.mp4  14.9 MB
  •  2. Introduction to programming with Python/11. Python 2 vs Python 3 What's the Difference.mp4  13.58 MB
  •  1. Welcome! Course Introduction/1. What Does the Course Cover.mp4  13.06 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/5. Monte Carlo Predicting Gross Profit – Part I.mp4  13.03 MB
  •  2. Introduction to programming with Python/9. Jupyter’s Interface – Prerequisites for Coding.mp4  12.31 MB
  •  14. PART II Finance - Markowitz Portfolio Optimization/4. Obtaining the Efficient Frontier in Python – Part II.mp4  11.6 MB
  •  14. PART II Finance - Markowitz Portfolio Optimization/1. Markowitz Portfolio Theory - One of the main pillars of modern Finance.mp4  10.83 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/17. Monte Carlo Euler Discretization - Part I.mp4  10.82 MB
  •  12. PART II Finance Measuring Investment Risk/3. Calculating a Security’s Risk in Python.mp4  10.76 MB
  •  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  10.55 MB
  •  10. Advanced Python tools/20. Changing the Index of Your Time-Series Data.mp4  10.19 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/15. Monte Carlo Black-Scholes-Merton.mp4  10.19 MB
  •  13. PART II Finance - Using Regressions for Financial Analysis/6. Computing Alpha, Beta, and R Squared in Python.mp4  10.04 MB
  •  13. PART II Finance - Using Regressions for Financial Analysis/3. Running a Regression in Python.mp4  10.03 MB
  •  10. Advanced Python tools/15. Accessing the Notebook Files.mp4  9.95 MB
  •  2. Introduction to programming with Python/5. Why Jupyter.mp4  9.86 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/12. An Introduction to Derivative Contracts.mp4  9.35 MB
  •  11. PART II FINANCE Calculating and Comparing Rates of Return in Python/14. Calculating the Indices' Rate of Return.mp4  9.31 MB
  •  12. PART II Finance Measuring Investment Risk/1. How do we measure a security's risk.mp4  9.3 MB
  •  16. Part II Finance Multivariate regression analysis/1. Multivariate regression analysis - a valuable tool for finance practitioners.mp4  9.23 MB
  •  3. Python Variables and Data Types/5. Strings.mp4  9.07 MB
  •  14. PART II Finance - Markowitz Portfolio Optimization/3. Obtaining the Efficient Frontier in Python – Part I.mp4  8.8 MB
  •  10. Advanced Python tools/21. Restarting the Jupyter Kernel.mp4  8.72 MB
  •  10. Advanced Python tools/9. Must-have packages for Finance and Data Science.mp4  8.63 MB
  •  11. PART II FINANCE Calculating and Comparing Rates of Return in Python/4. Calculating a security's rate of return.mp4  8.38 MB
  •  12. PART II Finance Measuring Investment Risk/10. Calculating Covariance and Correlation.mp4  8.38 MB
  •  1. Welcome! Course Introduction/2. Download Useful Resources - Exercises and Solutions.mp4  8.21 MB
  •  6. Conditional Statements/4. Else if, for Brief – ELIF.mp4  8.15 MB
  •  10. Advanced Python tools/19. Importing and Organizing Data in Python – part III.mp4  8.05 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/10. Monte Carlo Forecasting Stock Prices - Part II.mp4  7.99 MB
  •  10. Advanced Python tools/11. Working with arrays.mp4  7.9 MB
  •  5. Python Operators Continued/3. Logical and Identity Operators.mp4  7.87 MB
  •  12. PART II Finance Measuring Investment Risk/11. Considering the risk of multiple securities in a portfolio.mp4  7.74 MB
  •  13. PART II Finance - Using Regressions for Financial Analysis/4. Are all regressions created equal Learning how to distinguish good regressions.mp4  7.65 MB
  •  15. Part II Finance - The Capital Asset Pricing Model/1. The intuition behind the Capital Asset Pricing Model (CAPM).mp4  7.52 MB
  •  8. Python Sequences/5. List Slicing.mp4  7.35 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/11. Monte Carlo Forecasting Stock Prices - Part III.mp4  7.1 MB
  •  17. PART II Finance - Monte Carlo simulations as a decision-making tool/14. The Black Scholes Formula for Option Pricing.mp4  7.06 MB
  •  12. PART II Finance Measuring Investment Risk/15. Calculating Diversifiable and Non-Diversifiable Risk of a Portfolio.mp4  7.04 MB
  •  10. Advanced Python tools/1. Object Oriented Programming.mp4  6.88 MB