Data Analytics
Turn raw data into decisions — dashboards, insights, and action.
Apply for Data Analyticsan interactive analytics dashboard with live data
Your training passport
Every domain runs the same three-stage structure. Here's what each stage looks like for Data Analytics.
SQL and data modelling
Weeks 1-2. You write 50+ SQL queries on a real (anonymised) dataset. Mentor grades you on whether your joins are correct, your aggregations make sense, and your code would survive a code review at a real company.
1–2
Exploratory analysis with rigour
Weeks 3-4. You pick a question, run the analysis, write up the findings. Mentor pushes you on statistical rigour — when is a difference real, when is it noise?
3–4
Live dashboard and writeup
Months 2-3. You build a live dashboard (Metabase, Streamlit, or custom), publish a writeup of your methodology, and present it to the cohort. No hand-waving allowed.
2–3
- SQL mastery & data modelling
- Exploratory data analysis
- Dashboard design (metabase / custom)
- A/B testing & statistical rigour
- Data storytelling & reporting
- Python analytics toolchain
Once you're enrolled as an intern in Data Analytics, two domain-matched courses unlock on your dashboard, alongside the two courses free to every intern.
Browse the course catalogReady to start?
Applications are open all year — there's no fixed intake date. Onboarding starts within two weeks of approval.
Apply for Data Analytics