LEARN · BUILD · GROW
Data Path Academy is your step-by-step learning platform to build real-world data skills. Master the tools, techniques, and projects you need to go from analyzing data to building the pipelines behind it.
def clean_transactions(data):
# YOUR CODE HERE
cleaned = [normalize(row) for row in data]
return [r for r in cleaned if r.is_valid]
✓ 6/6 test cases passedTwo paths. One goal — to help you become a confident, job-ready data professional.
DATA ANALYST
Build your foundation in SQL, data analysis, and visualization. Learn to clean, explore, and present data that drives decisions.
DATA ENGINEER
Go beyond analysis. Learn how to design, build, and maintain scalable data pipelines, warehouses, and infrastructure.
Every path ends in real, progressively harder projects — the same ones you'd put on a portfolio.
Real coding exercises and projects, graded automatically.
From beginner fundamentals to job-ready.
XP, mastery scores, and a skill radar to measure growth.
Pay once per path, learn at your own pace, anytime.
No subscriptions. Pay once per path, keep access forever. The first topic in every path is free — try it before you buy.
Data Analyst Path
₱299 one-time
Data Engineer Path
₱299 one-time
Most data courses either start from zero and never get technical, or assume you're already an engineer. Data Path Academy is built for the gap in between: analysts who already know how to work with data and want to build the systems behind it, and complete beginners who want a real, structured path instead of a pile of disconnected tutorials.
Every lesson pairs a real explanation with a graded exercise or project — no lesson is "done" just because you clicked through it. You'll write real SQL against real datasets, run real Python, and ship projects that mirror what the job actually looks like.