datafrik.co
Portfolio Projects
Build Portfolio Projects
from Real Data Problems
Apply your skills to practical business problems using industry tools like Python, SQL, and Power BI—so you leave with a portfolio that proves your readiness for real data roles
What you'll learn
Each Project Moves You Closer to a Career in Data
Apply What You Learn to Real-World Scenarios That Mirror the Challenges Faced by Data Professionals Every Day
Work with industry-standard tools like Python, SQL, and Tableau to analyze, manage, and visualize data effectively.
Turn your learning into a job-winning asset by creating a collection of hands-on projects that showcase your ability to solve real business problems
Document and publish your work professionally by hosting your projects on GitHub, sharing notebooks, reports, etc. that recruiters can easily review
Portfolio Projects
Step-by-Step Projects to Learn Data Skills in Action.
A/B Testing
Learn how to design and analyze A/B tests to make data-driven decisions and optimize product features effectively.
Tools you'll use
PythonHypothesis Testing
Learn how to conduct hypothesis testing to validate assumptions and make statistically sound decisions in your data analysis.
Tools you'll use
Python
AWS Deployment
Create an interactive dashboard that visualizes sales performance across different regions and time periods.
Tools you'll use
AWS
Power Query Cleaning
Build a predictive model to identify customers at risk of churning using machine learning techniques.
Tools you'll use
Power BI