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INTRODUCING OUR BEST-SELLING COURSE:
Python for Finance
Learn how to use the latest and greatest Data Science techniques to help you in your finance job and with your investing.
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TOP-RATED COURSE + UNIQUE APPROACH
This is the best finance focused data science/python course, rated 4.8 out of 5!
STUDENTS HAVE TAKEN OUR COURSES
We have helped thousands of students all over the world with our courses.
LIFETIME ACCESS (INCLUDING UPDATES)
We’re always adding new material – and you’ll get lifetime access to the content!
Are you interested in learning how to use Python to analyze your investments, help you make more money or get ahead in your career?
If yes, then this course is perfect for you!
Introducing Python for Finance – one of the most complete and interesting courses we have created, and it has been updated with all the latest tools for 2020.
It took our team months to put together this content for you, and we are continually improving it (you get lifetime access to all updates when you sign up!)
This course also comes included with 1-on-1 tutoring to help you learn the concepts faster, and get all that you need from the course.
The instructor will work with you on a personal project that you can use to improve your investments or to put on your resume (to help you get a job!).
Just fill the application form on this page and we’ll get in touch with more information about the course. But hurry up, spots are going fast!
IN THIS COURSE YOU'LL LEARN...
- Rate of return of stocks
- Risk of assets using volatility
- Risk of assets using max drawdown
- Rate of return of stock portfolios
- Risk of stock portfolios
- Backtesting theory and application
- Portfolio Theory
- Sharpe ratio
- Inflation
- GDP growth rates
- Real estate data
- Testing Ray Dalio's all-weather portfolio
- Testing a 60/40 stock/bond portfolio
- Regression analysis
- Using APIs to download data
- Getting/saving data to CSV files
- Visualization of your findings in graphs/charts
- Correlations between economic variables and returns
- ... and MUCH more!
INCLUDES 1-ON-1 TUTORING WITH ROBERT GRZESIK
This is more than an online course, as it includes 1-on-1 tutoring with Robert Grzesik – who spent years managing teams of software engineers on Wall St.
Robert will work with you on a personal project that you can use to improve your investments or to put on your resume to help you get a job.
This is a unique opportunity you won’t find elsewhere – and it’s included in this course!
MEET YOUR INSTRUCTOR:
ROBERT GRZESIK
Robert has spent most of his career managing software teams on Wall Street and at various software startups.
He’s taught thousands of students in computer
programming and finance both in person and online.
In college, he received his Masters of Finance from a top business school and used to teach finance to classrooms with over 100 students each.
Robert has been programming computers for over 20 years using many different languages including Python, JavaScript, C, C++, Ruby on Rails and more.
More than 4,500 students have taken our Python courses.
HERE'S WHAT THEY HAVE TO SAY:
This course went through some really interesting finance case studies.
I’ve started using a lot of this code in my own investing strategies and it’s working really well so far.
Alicja Osinska
This course will get your foot on the door! It works as a guide for the those new to the development world, helps you build knowledge and helps you decide what to focus on after you are done.
Harry Fisher
A practical approach to coding and finance. The instructor makes you think deep about where the data is arriving from, how to use it, and where to get it.
A real resume-worthy course that won’t go away for a while.
Thomas Dines
This was a great course! The instructor was very clear, explained the topics well, and went over some very interesting concepts.
I learned a lot about how to make better investment decisions using Python and Pandas.
Magdalena Loiero
[LIMITED SPOTS] Request more information now!
Want more information about this course?
Download Course Information Sheet
Fill the form to receive the Course Information PDF.