Data Analyst

An end-to-end curriculum for analysts who want to be paid like decision partners, not number fetchers. You move from defensible metric definitions (DAU/MAU with action-only denominators, Sean Ellis 1-week retention, 5-bucket revenue waterfalls) to advanced SQL on Snowflake / BigQuery / dbt 1.8+, trustworthy A/B testing with SRM checks and CUPED variance reduction, executive-grade data storytelling in Mode / Hex / Looker / Tableau, and the leadership track that builds a team a CEO actually trusts. Every module ships with SQL or Python you can paste into a notebook and a real-company case (Stripe, Airbnb, Pinterest, Booking, Wise, GitLab) showing what the work looks like at scale.

19 modules across 5 stages40 hours of content

Course curriculum

Stage 1

Foundations

1
Data Analyst Role Orientation
60 min
2
Excel & Google Sheets Mastery
150 min
3
SQL Fundamentals
150 min
4
Data Cleaning & Preparation
120 min

Stage 2

Core Skills

1
SQL Mastery for Analytics
150 min
2
Data Visualization Tools
180 min
3
Descriptive Statistics & Distributions
150 min
4
Business Metrics & KPIs
150 min

Stage 3

Intermediate Analytics

1
A/B Testing & Experimentation
150 min
2
Cohort, Funnel & Retention Analysis
150 min
3
Dashboard Design & Best Practices
150 min
4
Python & R for Data Analysts
150 min

Stage 4

Advanced Analytics

1
Advanced Statistical Analysis
150 min
2
Data Storytelling & Stakeholder Communication
150 min
3
Advanced SQL & Data Modeling
150 min
4
Interview Preparation for Data Analysts
360 min

Stage 5

Specialization

1
Product Analytics Specialization
150 min
2
Marketing & Growth Analytics
150 min
3
Analytics Leadership & Strategy
150 min