Udemy – Python for Finance: Investment Fundamentals & Data Analytics

If you are a complete beginner and you know nothing about coding, don’t worry! We start from the very basics. The first part of the course is ideal for beginners and people who want to brush up on their Python skills. And then, once we have covered the basics, we will be ready to tackle financial calculations and portfolio optimization tasks.   

Finance Fundamentals.  

And it gets even better! The Finance part 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. This is the best way to reinforce what you have learned.  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.     

DOWNLOAD LINK: Python for Finance: Investment Fundamentals & Data Analytics

Python_For_Finance_Investment_Fundamentals_Data_Analytics.part1.rar – 1000.0 MB
Python_For_Finance_Investment_Fundamentals_Data_Analytics.part2.rar – 1000.0 MB
Python_For_Finance_Investment_Fundamentals_Data_Analytics.part3.rar – 1000.0 MB
Python_For_Finance_Investment_Fundamentals_Data_Analytics.part4.rar – 307.7 MB

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