Learning Path

Data Cleaning and Preparation for Business Analysis

SQL Basics for Data Retrieval → Data Validation

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This learning path equips data analysts with the knowledge and skills to clean and prepare data for accurate business analysis. It covers data quality assessment, handling missing values, deduplication, standardization, formatting, ETL basics, and data validation, with foundational SQL and Python concepts.

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Learning Route

10 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

3 steps

Phase 3

Advanced Topics

3 steps