Learn data analytics for free.
Learn the role of a data analyst, the types of problems they solve and the full analysis cycle from problem definition to insights and recommendations.
YOUR LEARNING PATH
Data Analyst
Analyze data, find patterns and help businesses make decisions based on numbers. You don’t need to complete every resource. Some are included as optional materials to provide broader coverage of the topics.
A free self-paced learning path with curated external learning resources.
Skills to learn
Data Analysis Fundamentals
Understand the role of a data analyst, the types of problems they solve and the full analysis cycle from problem definition to insights and recommendations.
Data Analyst Career Path
Learn the skills, tools and techniques used by data analysts to analyze data and make business decisions.
Beginner: Google Cloud Data Analytics
Official Google Cloud course. Some hands-on labs may require paid access, but the free content is still worth exploring.
SQL
Retrieve, filter, aggregate and combine data, then use CTEs and window functions.
SQLBolt
Learn SQL through short interactive lessons and browser-based exercises.
ThoughtSpot SQL Tutorial
Learn SQL for data analysis from basic through intermediate and advanced topics.
Kaggle — Intro to SQL
Practice basic queries, GROUP BY, CTEs and JOINs using BigQuery.
Kaggle — Advanced SQL
Learn JOINs, UNIONs, window functions, nested data and query optimization.
Neon Postgres
Start a free database, load a CSV and write queries in the built-in SQL Editor.
SQLite Quick Start
Install SQLite, create a database and run queries without setting up a database server.
Statistics for Analysis
Understand distributions, sampling, confidence intervals, correlation and hypothesis tests.
Seeing Theory
Build intuition for probability and statistics through Brown University’s interactive visualizations.
OpenIntro — Introduction to Modern Statistics
Read a complete modern, open-source textbook on exploratory analysis, modeling and statistical inference.
StatQuest
Watch concise explanations of distributions, p-values, confidence intervals, regression and statistical tests.
MIT 18.05 — Introduction to Probability and Statistics
Study a rigorous university course with readings, lectures, problem sets and exams.
ISLP — An Introduction to Statistical Learning with Applications in Python
Learn statistical modeling and machine-learning methods through a free Python-based textbook.
Python
Learn Python, clean and analyze data with pandas, and work in notebooks.
Kaggle — Python
Learn Python fundamentals through short explanations and hands-on notebook exercises.
Kaggle — Pandas
Practice selecting, filtering, grouping, combining and transforming tabular data.
Kaggle — Data Cleaning
Handle missing values, inconsistent formats, encodings and other common data-quality problems.
Kaggle — Data Visualization with Python
Create clear exploratory charts with Python and communicate patterns in data.
Google Colab
Practice Python in a free cloud-based notebook.
Visualization
Choose effective charts, build dashboards and communicate actionable insights.
Tableau Free Training
Learn charts, calculated fields, dashboards and visual analytics.
Looker Studio Tutorials
Build interactive dashboards, filters and calculated fields with Google’s free BI tool.
Training for Power BI
Learn to connect data, create reports and dashboards with Microsoft’s free BI tool.
Tableau Public
Build and share an interactive dashboard based on a public dataset.
Power BI Desktop
Power BI Desktop is a free application that lets you connect to, transform, and visualize your data.