COMP FINANCE & ASSET MANAGEMENT
Master Python for Algorithmic Trading, Computational Finance, and Asset Management
Comprehensive Online Training Program
This unique program combines into one package the Certificate Programs in Python for ...
With the Platinum Package, you get access to all our current online training resources with ...
Master AI-Powered Asset Management and Algorithmic Trading as well as Computation-First Finance with Python. Get started today and supercharge your career in finance.
Platinum Package Program
Platinum PackageFully Self-Paced
Mean-Variance Portfolio Theory
Risk Parity Investing
Option Pricing by Arbitrage
Trading based Artificial Intelligence
Machine Learning (ML)
Deep Learning (DL)
Reinforcement Learning (RL)
Python software development
we have special, time limited offers
(additional discounts for students/academics might apply)
Cancellations or refunds are not possible since delegates get full access to the complete electronic program materials (videos, HTML pages, PDFs, Jupyter Notebooks, Python codes, etc.). The program resources are copyrighted and not allowed to be shared or distributed. The resources are instructional and illustrative only. They come with no warranties or representations, to the extent permitted by applicable law.
Login credentials to the Quant Platform are sent immediately afterwards, so you can get started with the course materials right away. Detailed joining instructions for live sessions, if there are any, will be sent in time before they start.
Have a look at the Certificate Program Brochure
which provides you with details about the program.
Frequently Asked Questions
In the following, you find answers to the most frequently asked questions about the program.
The program covers a wide range of important topics in Python for Asset Management, Algorithmic Trading, and Computational Finance. A strong focus lies on Machine Learning, Deep Learning and Reinforcement Learning. Among others, you get access to 250+ hours of recorded/live instruction, 1,750+ pages documentation, 20,000+ lines of Python code, 250+ Jupyter Notebooks. There are also tutorials with exercises and test projects. Towards the end, you prepare a final, graded project.
We expect you to have some programming experience (not necessarily Python) and some background in finance. Our Finance with Python course provides a gentle introduction to finance from fundamental principles and to Python from scratch.
We know that many of you have full-time jobs and other commitments. Therefore, we are fully flexible with regard to timings. Our promise: you can do the program completely self-paced.
We do not limit access to the resources of the program. To the contrary, you benefit from certain updates that we will bring out in the future automatically.
With the self-paced Platinum Package, there are no live sessions. However, if there are live sessions that are topic-wise relevant to your package, you will get access to the recordings.
Immediately after signing up, you get access to all the materials and video recordings. This allows you to orient yourself on the Quant Platform and to review the introductory lessons.
We offer a 15% discount for students and academics. We also offer special upgrade prices for those who have already booked a course or class with us. Just reach out to us via firstname.lastname@example.org.
If you wish, you can obtain an official University Certificate (for a smaller extra fee). To award the University Certificate, The Python Quants cooperate with the htw saar University of Applied Sciences.
LEARN FROM THE HORSE'S MOUTH
—WE USED PYTHON FOR FINANCE WHEN NO ONE DID
Dr. Yves J. Hilpisch is founder and CEO of The Python Quants as well as founder and CEO of The AI Machine. Yves is also Adjunct Professor of Computational Finance and lectures on computational finance, machine learning and algorithmic trading at the CQF Program.
Yves is the author of six books:
- Financial Theory with Python (O’Reilly, 2021),
- Artificial Intelligence in Finance (O’Reilly, 2020),
- Python for Algorithmic Trading (O’Reilly, 2020),
- Python for Finance (2nd ed., O’Reilly, 2018),
- Derivatives Analytics with Python (Wiley, 2015)
- Listed Volatility and Variance Derivatives (Wiley, 2017).
The Experts in Data-Driven and AI-Powered Finance with Python. We focus on Python and Open Source Technologies for Financial Data Science, Artificial Intelligence, Asset Management Algorithmic Trading, and Computational Finance.