Data Analytics Tutorial
Follow the analyst path from a business question to SQL, pandas, metrics, charts and a written insight report.
Start the first lesson Continue where you left off
Getting Started Beginner
- 1Data Analytics Introduction
- 2What a Data Analyst Does
- 3Types of Analytics: Descriptive to Prescriptive
- 4Asking Good Business Questions
- 5Data Sources & Data Collection
- 6Tools & Practice Data
Spreadsheets & SQL Beginner
- 7Spreadsheets for Analysts
- 8SQL for Analysts: First Queries
- 9SQL Aggregations for Business Reports
- 10SQL Joins for Analysts
- 11CTEs: Building Queries Step by Step
- 12Window Functions for Business Questions
Python pandas Intermediate
- 13pandas for Analysts
- 14Grouping, Pivots & Merges in pandas
- 15A Data Cleaning Checklist
- 16Exploratory Data Analysis
Business Metrics Intermediate
- 17Key Business Metrics & Formulas
- 18Retention & Churn
- 19Cohort Analysis
- 20Funnel Analysis
- 21Reading A/B Test Results
Visualising & Communicating Advanced
- 22Choosing the Right Chart
- 23Dashboard Design Principles
- 24Power BI & Tableau Overview
- 25Storytelling & Insight Memos
- 26Presenting to Managers
Career & Project Project
Learn Data Analytics with a mentor
Free lessons get you started. Our Data Analytics & Power BI training adds real projects and code reviews from working developers.
- Project-based learning
- Mentor code reviews
- Free counselling call
