Everything you need to know before enrolling. Still have questions? Contact us directly
The Python Data Analysis course requires basic Python knowledge (variables, loops, functions). The ML and Deep Learning courses require completion of the Python course or equivalent experience. Complete beginners should start with a free Python fundamentals resource before enrolling.
Lifetime access. Once enrolled, you can access all lessons, code notebooks, and future updates forever. We frequently update content when libraries release new versions.
Yes — 30-day full refund, no questions asked. If you complete less than 30% of the course and are unsatisfied, email us within 30 days for an immediate refund.
Any laptop or desktop (Windows, Mac, Linux) with at least 8GB RAM. We use Google Colab for GPU-heavy Deep Learning lessons, which is free. You will need Python 3.10+ and Jupyter Notebook installed locally.
Tyler is a working data scientist who builds production ML systems daily. The content focuses on real-world decisions, tradeoffs, and debugging — not just running textbook code. You will learn what actually happens when things break in production.
Yes. All enrolled students can submit questions via the course platform. Tyler personally answers questions every Tuesday and Friday. There is also a community Slack channel for peer discussion.
Yes. Every course module is reviewed and updated at minimum every 6 months, and immediately when a major library version change occurs. You will receive email notifications when significant updates are made.
Yes — a digital completion certificate is issued automatically when you finish all lessons and pass the final project assessment. It includes your name, course title, completion date, and a unique verification link.
