Don't worry if you are a total newbie and have no prior experience with coding. We begin with the very beginning. Beginners and those who wish to brush up on their Python knowledge should start with the first section of the course. Once the fundamentals have been covered, we will then be prepared to take on tasks involving financial calculations and portfolio optimization.

Financial Foundations.

And it gets better still! This course's financial component will teach you in-demand practical abilities that employers want to see. You must focus on a certain area of interest if you want to become a highly paid coder. 

We will cover a variety of tools and strategies used by finance professionals on a daily basis in this course, with a concentration on finance:

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.

Course Duration:-2h 2m