Pandas & Data, Normal
Ship a real notebook: pandas the way a data analyst actually uses it.
📖 10 ⏱ ~4h 📦 5 ⚡ +1000 XP
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Module 1
→ Series & DataFrame Basics
Pandas core data structures: creating Series from lists and dicts, building DataFrames, reading CSV files, and inspecting your data.
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Module 2
→ Selection, Filtering & Indexing
Extract the data you need: select columns, filter rows with boolean conditions, and use loc/iloc for precise access.
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Module 3
→ Data Cleaning
Fix real-world mess: handle missing values, convert dtypes, apply string operations, and use loc/iloc for targeted edits.
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Module 4
→ GroupBy, Aggregation & Merging
Split-apply-combine with groupby, compute aggregations, and combine DataFrames with merge, join, and concat.
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Module 5
→ Guided Titanic EDA
Put it all together: load the Titanic dataset, explore its structure, clean it, and answer real analytical questions.