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Michael Olafusi

Signed Up For Python for Finance: Investment Fundamentals & Data Analytics Course

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On Thursday I signed for the Udemy course: Python for Finance: Investment Fundamentals & Data Analytics






It would be helping me learn how to apply Python to Financial and Investment analysis.


Below is a copy paste of a part of the course description and content.



If you are a complete beginner and you know nothing about coding, don’t worry! We will start from the very basics. The first part of the course is ideal for beginners and people who want to brush up 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 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 


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 would need if you start working in a finance context.  

What makes this course different from the rest of the Programming and Finance courses out there? 

This course will teach you how to code in Python and how to apply these skills in the world of Finance. It is both a Programming and a Finance course.

High-quality production – HD video and animations (this isn’t a collection of boring lectures!)

Knowledgeable instructors. Martin is a quant geek fascinated by the world of Data Science, and Ned is a finance practitioner with several years of experience who loves explaining Finance topics, here on Udemy.

Complete training – we will cover all major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)

Extensive Case Studies that will help you reinforce everything you’ve learned.

Course Challenge: Solve our exercises and make this course an interactive experience.

Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day.

Dynamic: We don’t want to waste your time! The instructors keep up a very good pace throughout the whole course.

I have already begun taking the course.

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