Data Cleaning
If you like applying Data Cleaning, every challenge here gives you a chance to practice it on a real industry brief.
- CodeIntermediateNew
Ship a Churn-Prediction Mini-Project End to End
You receive a 12-month anonymized dataset of subscriber events (logins, lesson completions, payment history, support tickets) for around 200,000 users. Define churn precisely (n…
- Feature Engineering
- Model Evaluation
- Gradient Boosting
AI/ML Practicum and Hands-on Lab - AnalysisIntermediateNew
A/B Test Landing Page for a 40-Person SaaS Scale-Up
You are a marketing analyst at TaskFlow. You have a dataset of 10,000 visitors with columns: group (control/variant), converted (yes/no), time on page (seconds), and device type…
- Hypothesis Testing
- A B Testing
- Chi Square Test
Statistics for Business
How it works
From brief to credential, in six steps.
Step 01
Browse challenges aligned to your studies.
Step 02
Accept the one that fits your goals.
Step 03
Work through it with AI Copilot guidance.
Step 04
Submit for structured evaluation.
Step 05
Earn a verified credential.
Step 06
Add it to LinkedIn with one click.
Industry teams behind a decade of practitioner briefs
Hiring from this pool?
Sponsor a challenge and meet candidates through actual work.
Industry teams can shape briefs around the skills they hire for, then evaluate students on rubric-scored deliverables — not resumes.



















































































