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Free Python Data Challenge — Baig Academy
Free · Self-Paced · Start Today

Learn to Analyse
Real Data in Python.
At Your Own Pace.

6 hands-on challenges. A real dataset with 155,000+ salary records. Step-by-step tasks with hints — plus Rahim's full walkthrough recording so you never get stuck.

15 minutes per challenge No prerequisites needed Full recording included Real-world dataset
0k+
Real salary records
0+
Countries covered
0
Hands-on challenges
1 Full
Walkthrough recording
Day3_Salary_Analysis.ipynb
1import pandas as pd
2# Group by role and experience level
3salary_matrix = df.groupby([
4    'job_title', 'experience_level'
5])['salary_in_usd'].median().round(0)
6print(salary_matrix)
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15 min per challenge
Your pace — no deadlines
Stuck? Check the recording
Dataset inside each challenge
6 Challenges + Recording

Work through them at your own pace.

Each challenge builds on the last. By the end you'll have a complete personal salary benchmark — built entirely in Python by you.

🗂️
Challenge 1
Meet Your Data
Load 155,000+ real salary records and explore what's inside. Your first real questions about the data science job market.
Start challenge
🔍
Challenge 2
Filter & Focus
Cut through 100+ job titles. Find exactly what's relevant to your career and how many entry-level roles actually exist.
Start challenge
💰
Challenge 3
Salary Patterns
What do different roles actually pay? GroupBy reveals salary patterns by experience, role, and company size.
Start challenge
📈
Challenge 4
Trends Over Time
Is data science growing or cooling off? Build your first line charts and track 5 years of salary and hiring trends.
Start challenge
🌍
Challenge 5
Where in the World
Most jobs ≠ highest pay. Map the global salary landscape with bar charts and find the US premium.
Start challenge
📊
Challenge 6
Your Personal Report
Find your salary percentile, see your career ladder, and write your conclusions. This one is worth saving.
Start challenge
🎬
Day 7 — Full Walkthrough
Rahim's Complete Solution Recording
Rahim builds the entire challenge end-to-end live — all 6 challenges in one session. Watch alongside your own notebook, or use it when you're stuck. Includes open Q&A on Python, data, and AI careers.
Available Now Watch Recording →
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