AI Udaan syllabus · Week 2–4
Pandas for Data Analysis & AI in Nepal
Pandas is the workhorse of data AI in Python. AI Udaan dedicates multiple weeks to reading files, filtering rows, handling missing values, outliers, and grouping data — every step that happens before a model sees your dataset.
Key Pandas skills in the syllabus
You learn to read CSV/Excel files, understand Series and DataFrame datatypes, filter and sort data, handle missing and duplicate values, detect outliers with IQR and Z-score methods, and aggregate with groupby — all with assignments each week.
From cleaned data to models
Machine learning models fail when data is messy. AI Udaan’s Pandas modules mirror what junior data and AI roles do daily: clean first, visualize second, model third.
Covered in AI Udaan
- Jupyter IDE and virtual environments
- Reading and exploring datasets
- Missing values, duplicates, outliers
- Filtering, sorting, groupby, aggregation
Go deeper with the full bootcamp
This guide is a free overview. AI Udaan is a 16-week mentor-led Python with AI/ML bootcamp — live classes, assignments, projects, certificate, and career support for learners across Nepal.
FAQ
How long does AI Udaan spend on Pandas?
Roughly Weeks 2 through 4 cover Pandas fundamentals, cleaning, and aggregation, alongside introduction to Matplotlib for visualization.
Related AI guides
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