Beginner~10 weeks7 steps

Data Analyst

Turn raw data into decisions: statistics, SQL, Python with pandas, visualization, and dashboards — a beginner-friendly path into tech that pays off in any role.

1
Statistics fundamentals
Build intuition for distributions, averages, variance, and correlation.
- CourseStatistics and Probability (Khan Academy)
- ArticleSeeing Theory — A Visual Introduction to Probability
2
SQL for analysis
Query, filter, join, and aggregate data — the analyst's daily driver.
- ExerciseSQLBolt — Interactive SQL Lessons
- CourseMode SQL Tutorial
3
Python & pandas
Load, clean, and reshape datasets programmatically.
- CourseKaggle Learn: Pandas
- Docspandas — Getting Started
4
Data cleaning & preparation
Handle missing values, outliers, and messy real-world data.
- CourseKaggle Learn: Data Cleaning
5
Data visualization
Choose the right chart and communicate findings honestly.
- CourseKaggle Learn: Data Visualization
- ArticleThe Data Visualisation Catalogue
6
Dashboards & BI tools
Publish interactive dashboards stakeholders can self-serve from.
- DocsLooker Studio — Quick Start Guide
- ArticleTableau Public (free BI tool)
7
Portfolio projects
Analyze a public dataset end-to-end and write up your findings.
- ExerciseKaggle Datasets
- CourseData Analysis with Python (freeCodeCamp)

Statistics fundamentals

SQL for analysis

Python & pandas

Data cleaning & preparation

Data visualization

Dashboards & BI tools

Portfolio projects