AnalystOS Mission / Python
Explore Data in a Notebook
Look through messy customer activity data and find useful patterns.
Difficulty
Intermediate
Estimated time
90-120 minutes
Reward
+125 XP
Role fit
Data Analyst / Data Scientist
Mission Brief
What you need to solve
Look through messy customer activity data and find useful patterns.
Best fit
Data Analyst
Best fit
Data Scientist
Data You Will Use
What information you get
Customer product usage, plan type, support activity, onboarding completion, activity frequency, and retention status.
Guided Steps
Follow Step 1 to Step 5
Use these beginner-friendly steps before you accept the mission.
Check what columns exist and what is missing.
Create simple groups and summaries.
Make charts that reveal patterns.
Write notes and ideas to test later.
Save your work and explain your answer in simple language.
What You Will Create
What your work should contain
A notebook with clean notes, a few charts, findings, and ideas to test.
Clean notebook
Data notes
Charts
Pattern summary
Starter Question
Use this to begin
Use Python to find patterns worth checking further and explain why.