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Data Analyst • Part 2
Last Updated: August 2026
Python, Pandas & Reproducible EDA
Jupyter notebooks, Pandas DataFrames, merge/groupby operations, and EDA charts.
Overview
Python and the pandas library allow data analysts to perform scalable data munging, handle missing values, execute aggregations, and generate exploratory data analysis (EDA) in reproducible Jupyter notebooks that can be audited by engineering peers.
Why Learn This in 2026?
When datasets outgrow Excel's million-row limit or require automated, recurring cleaning pipelines, Python is the gold standard for exploratory data analysis and reproducible research.
How We Teach This
Week 8–9 / Python for analysts
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Market Trajectory
Standard for Modern Analytics
Python is increasingly expected alongside SQL for modern Product Analyst and Analytics Engineer roles.
- 75% of analytics teams use Python for exploratory analysis and automation.
Hiring Landscape
Demand LevelHigh
Typical Salary Impact₹7L - ₹16L (India)
Top Employers Seeking This
PhonePeCREDFlipkartGrowwGoogle
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