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Live sessions
Three live sessions a week with working engineers — recordings provided so you can revisit any session.
Data Science & Analytics Training
Turn raw data into decisions — analytics, visualization, storytelling.
What you'll learn
A focused, project-led syllabus that gets you to working competency — not just exposure.
- SQL deep dive: joins, windows, CTEs
- Pandas, NumPy for data wrangling
- Statistics, hypothesis testing, A/B tests
- Visualization with Plotly & Tableau
- Dashboarding & stakeholder reporting
- Capstone analytics project on real data
By the end, you can
The outcomes we hold ourselves accountable to. Not aspirations — the bar for graduation.
- Run end-to-end analyses on messy, real datasets
- Communicate findings with clear visualizations
- Ready for analyst & junior data-scientist roles
How this cohort runs
Live, accountable, and practitioner-led
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1:1 mentorship
Weekly office hours, code reviews on your projects, and a dedicated mentor through the cohort.
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Capstone project
A real, end-to-end project you build and present — the centerpiece of your portfolio at the end of the course.
FAQs
Quick answers
Required background depends on the course level — see the "Level" tile above. We share a short readiness checklist before enrollment so you know what to brush up on.
All sessions are recorded and shared in the cohort space. Office hours are weekly so you can ask anything you missed live.
Yes — most cohorts can be paid in 2 or 3 monthly instalments. Talk to our enrollment team for the specifics.
No course can honestly guarantee a job. We do provide CV/portfolio review, mock interviews, and intros to our hiring partner network — and we publish honest cohort outcomes.
Often, yes. We provide a structured proposal you can take to your L&D / HR team. Reach out and we'll send the template.