Applications

Fall 2026 cohort — applications are open.

Cohort starts

Pick your track and level below, then hit Enroll. The application takes about 3 minutes.

Bootcamps

Five tracks. One runway.

Every track is project-first, mentor-led, and built around a student schedule.

Bootcamps

Showing 1 bootcamp

  • Data Science — Intermediate

    Intermediate
    6 months, 5–8 hrs/week

    32 USDper month

    You can clean and analyse data. Now learn what separates a data scientist from an analyst: running experiments, building predictive models, and proving they'll hold up on data they haven't seen.

    • A/B testing
    • Scikit-learn
    • Feature engineering
    • Model evaluation
    1. Phase 1

      Statistics & experiments

      Hypothesis tests, confidence intervals and A/B tests, without the proofs.

    2. Phase 2

      Machine learning

      Regression, classification and trees, plus clustering and PCA, in Scikit-learn.

    3. Phase 3

      Models you can trust

      Feature engineering, cross-validation, the right metrics, and avoiding leakage.

    4. Phase 4

      Capstone

      A predictive model for a business problem, presented to a non-technical audience.

How a bootcamp works

Simple on purpose.

  1. Apply & get placed

    A quick chat (not an exam) to match you with the right track and level.

  2. Build every single week

    Plan for 5–8 hours a week: about 2 hours of live class, the rest self-study and weekly builds. Small wins that compound into serious skills.

  3. Capstone & career week

    Ship a final project, demo it live, then polish your resume and portfolio with mentors.