Our Biggest Cohort Yet: Inside the June 2026 Data Science & Machine Learning Bootcamp

In June 2026 we ran our third Data Science & Machine Learning Bootcamp, and it ended up being the biggest curriculum we'd built for the program — eight core lessons covering the full ML workflow, plus seven additional bonus sessions covering everything from the math underneath machine learning to career advice for people about to go looking for their first data role.

Three Cohorts In

By June 2026 we'd already run the September 2025 and February 2026 Data Science & Machine Learning cohorts, plus Python for Everyone in between. That last one mattered more than we expected: participants arriving at this cohort were far more likely to already have working Python fluency, which meant the full month could go toward data science and machine learning itself, instead of also being a crash course in the language underneath it.

The Same Core Seven Stages

The underlying philosophy hasn't moved since the first cohort: collect data, preprocess it, split it into train and test sets, choose a model, train it, evaluate it, deploy it. Every cohort we run is a different arrangement of lessons around that same seven-stage backbone.

Eight Lessons, Not Ten

This cohort restructured the core material into eight lessons, opening with something the earlier cohorts didn't have: a standalone lesson on what data science actually is, as its own discipline, before moving into machine learning specifically.

• Lesson One — Data Science, framing the field before diving into ML
• Lesson Two — Introduction to Machine Learning
• Lesson Three — Data Foundations
• Lesson Four — Data Preprocessing Pipeline