Learning Path

Data Cleaning and Preparation for Analysis

Understanding Data Types and Structures → Capstone Project: End-to-End Data Cleaning Pipeline

11 Knowledge Nodes · 11 Learning Steps · v0 Active

This learning path equips data analysts and scientists with systematic techniques to clean, transform, and prepare messy real-world data for analysis. Starting from Python/R basics, it covers handling missing data, outliers, normalization, string manipulation, date/time processing, and data validation, culminating in a capstone project that integrates all skills.

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11 nodes17 edges2 relationships

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Learning Route

11 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

3 steps