PyDA Course
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Intermediate ⏱ 50 min 📖 2 Lessons

Module 3: Data Cleaning

Fix real-world mess: handle missing values, convert dtypes, apply string operations, and use loc/iloc for targeted edits.

pandasmissing-valuesdtypesstring-ops

Lessons

1
loc and iloc Access specific rows and columns using label-based loc and position-based iloc for precise data selection.
Intermediate ⏱ 25 min ⚡ +100 XP
→ 2
Handling Missing Values Detect, drop, and fill missing values with isna(), dropna(), and fillna() to prepare data for analysis.
Intermediate ⏱ 25 min ⚡ +100 XP
→
Selection, Filtering & Indexing GroupBy, Aggregation & Merging