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.
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
Alpha and Beta coefficients
Measuring a regression’s explanatory power with R^2
Markowitz Efficient frontier calculation
Capital asset pricing model
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.