Intermediate Data Analysis in 21 days
SQL joins, window functions, funnel and cohort analysis, A/B testing, and statistics for analysts.
- Daily plan, 45-60 min a day
- 7 lessons + 21 exercises
- AI tutor included
- No prior coding experience required
- Practice tasks every day
- Build impressive portfolio project
What you will learn
A powered by mentors Intermediate plan with structured subtopics, quizzes, and practice tasks.
SQL joins, aggregations, and window functions
Use JOIN, GROUP BY, HAVING, PARTITION BY, ROW_NUMBER, and LAG for multi-table analysis.
Funnel and conversion analysis
Track user journeys through steps, measure drop-off rates, and identify conversion blockers.
Cohort and retention analysis
Group users by acquisition date and measure how retention changes over time.
Business metrics deep dive
Build reliable calculations for DAU/MAU, LTV, CAC, churn, and product health metrics.
A/B testing and experiment analysis
Design experiments, define success metrics, run significance tests, and interpret results.
Probability and statistics for analysts
Apply distributions, hypothesis testing, p-values, and confidence intervals to real data.
Capstone: product metrics dashboard
Build a complete SQL-powered dashboard tracking acquisition, activation, retention, and revenue.
See the quiz + practice flow
Three answered questions and a filled code task so you know exactly what to expect.
Quiz preview
2/3 correct1. How long is the Data Analysis plan?
Correct2. What level is this Data Analysis plan?
Incorrect3. Which of these appears in the Data Analysis outline?
CorrectCode practice preview
SubmittedFormat a lesson title
Build a helper that formats a lesson label with a padded index and title.
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