Data-driven stock quant investment with Python Part 1
In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.
1,849 learners
Level Basic
Course period Unlimited
[20% discount on all classes] Celebrating the 1st anniversary of the course launch
Hello. This is Deepingsauce, Infraon knowledge sharer.
It seemed like the hot summer would never end, but autumn is quickly approaching as the morning air becomes chilly.
I vaguely remember opening the first lecture (Python that anyone can learn, whether they are a liberal arts student or a non-major) last year around the time the weather was getting chilly, and when I checked the calendar, I saw that the first anniversary was really approaching^^ (October 15, 2020)
A month ago, I finished the main curriculum for 'Python Quant Investment' by finishing the part 2 class. In the short period after the release, many people showed interest, so I had the honor of being featured on the main banner of the Infraon homepage. Accordingly, the total number of cumulative students is now approaching 4,800.
To thank you for your support, we have prepared a 20% discount event for all lectures to celebrate the 1st anniversary of the opening of the first lecture (until 23:59 on Friday, October 15, 2021)
<Go to lecture>
1. Python that anyone can learn, whether they are a liberal arts student or a non-major!
2. Python Web Crawling & Automation to Replace My Work (feat. Stock, Real Estate Data / Instagram)
3. Data-based stock quant investment with Python Part 1
4. Data-based stock quant investment with Python Part 2
I hope that through this opportunity, we can further improve the quality of life of our students at a slightly lower price.
We will continue to strive to provide better content in the future.
thank you