Data Analysis Roadmap

Master data analysis with Python, SQL, visualization tools, and machine learning. Transform raw data into actionable insights and build data-driven solutions.

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Learning Path

Follow these steps to become a professional data analyst.

1

Python Fundamentals

Core Python basics.

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  • Variables
  • Loops
  • Functions
2

Pandas & Data Cleaning

Data manipulation.

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  • DataFrames
  • Filtering
  • Cleaning
3

Data Visualization

Charts & dashboards.

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  • Matplotlib
  • Seaborn
  • Storytelling
4

SQL for Analysis

Queries & joins.

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  • Joins
  • Subqueries
  • Window functions
5

Statistics

Probability & hypothesis testing.

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  • Mean & median
  • Correlation
  • Regression
6

Machine Learning

ML basics.

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  • Classification
  • Regression
  • Evaluation
7

Projects

Real-world data problems.

Practice
  • Sales analysis
  • Customer insights
  • Trends
8

Deployment & Tools

Advanced tools.

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  • Power BI
  • Tableau
  • Dashboards