Python for Finance: Investment Fundamentals & Data Analytics Free Download

About Python for Finance: Investment Fundamentals & Data Analytics Course

The Finance block of this course will teach you in-demand real-world skills employers are looking for. To be a high-paid programmer, you will have to specialize in a particular area of interest. In this course, we will focus on Finance, covering many tools and techniques used by finance professionals daily:  

  • Rate of return of stocks  
  • Risk of stocks  
  • Rate of return of stock portfolios  
  • Risk of stock portfolios  
  • Correlation between stocks  
  • Covariance  
  • Diversifiable and non-diversifiable risk  
  • Regression analysis  
  • Alpha and Beta coefficients  
  • Measuring a regression’s explanatory power with R^2  
  • Markowitz Efficient frontier calculation  
  • Capital asset pricing model  
  • Sharpe ratio  
  • Multivariate regression analysis  
  • Monte Carlo simulations  
  • Using Monte Carlo in a Corporate Finance context  
  • Derivatives and type of derivatives  
  • Applying the Black Scholes formula  
  • Using Monte Carlo for options pricing  
  • Using Monte Carlo for stock pricing

Everything is included! All these topics are first explained in theory and then applied in practice using Python.

Is there a better way to reinforce what you have learned in the first part of the course?  

This course is great, even if you are an experienced programmer, as we will teach you a great deal about the finance theory and mechanics you will need if you start working in a finance context.     

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