Your Complete Roadmap to Become a Data Analyst

Google Sheets

Build your foundation with spreadsheets.

• Clean and format raw data
• Use formulas: IF, COUNTIF, VLOOKUP
• Create pivot tables and basic dashboards
• Link data across sheets for insights

SQL (Structured Query Language)

Work directly with databases.

• Query with SELECT, WHERE, AND, OR, LIKE
• Aggregate using SUM, AVG, GROUP BY
• Use JOINs, subqueries, HAVING for deeper analysis
• Solve business logic with CASE, COALESCE, WINDOW functions
• Normalize tables for clean, scalable data

Power BI

Visualize data and build dashboards.

• Import and clean data with Power Query
• Design interactive charts and dashboards
• Write DAX formulas for advanced logic
• Deliver reports that support decisions

Statistics

Understand what your data is really saying.

• Learn mean, median, standard deviation, probability
• Explore data using EDA methods
• Conduct T-tests, Z-tests, and ANOVA
• Use probability distributions to evaluate outcomes

Python

Automate analysis and build tools.

• Work in Jupyter Notebooks for analysis and reporting
• Use NumPy for fast numeric calculations
• Clean and analyze with Pandas: read CSVs, Excel, manipulate DataFrames
• Merge, group, and handle missing data
• Plot data using Matplotlib and Seaborn
• Customize visuals for clear communication

This roadmap gives you the skills to move from spreadsheets to advanced analytics.
Where are you on this path now?
Which step do you want to dive into next?