⚠️ – Compared to some newer courses, there are fewer built-in coding challenges. You’ll need to pause videos and experiment yourself.
✅ – Pay once, watch anytime. Udemy runs frequent sales, so you can get it for $10–$20. ⚠️ – Compared to some newer courses, there
✅ – Jose personally answers questions in the Q&A section, even for students who joined years later. Udemy runs frequent sales, so you can get it for $10–$20
At first glance, a course labeled "2020" might seem outdated. But don’t let the year fool you. This post breaks down exactly what the course offers, who it’s for, and whether it’s still a smart investment today. Created by Jose Portilla (Pierian Training), this bootcamp is designed for absolute beginners. It promises to take you from "zero to hero" by teaching Python fundamentals through a mix of video lectures, coding exercises, and projects. But don’t let the year fool you
⚠️ – For example, the web scraping section uses older BeautifulSoup patterns (still fine, but modern practices differ slightly). Who Is This Course For? | You’ll love this if… | Look elsewhere if… | |----------------------|---------------------| | You’ve never written a line of code | You want to build web apps or data science models | | You want a gentle, slow-paced intro to Python | You prefer text-based tutorials over video | | You learn best by watching and then trying | You need hundreds of interactive coding challenges | | You want a solid foundation before moving to Django, Flask, or pandas | You’re already comfortable with loops, functions, and classes | Final Verdict: Still a Great Buy in 2026? Yes – with one caveat.
✅ – Most coding is done in Jupyter, which lets you run small chunks of code and see results immediately. Perfect for experimentation.
✅ – Python 3.8–3.12 differences are minimal for beginners. The libraries used (like BeautifulSoup4, requests) are still standard. The Not-So-Good (Cons) ⚠️ No advanced topics – This is strictly beginner to intermediate. Don't expect web frameworks (Django/Flask), data science (pandas/numpy), or automation beyond basics.