Data Science & Machine Learning
A 20-week live cohort covering the full data workflow: Python and SQL, statistics that hold up, model building, and getting a model into production instead of a notebook.
Who this track is for
Analysts, engineers and graduates with some Python or SQL who want to move from ad-hoc analysis into models other people depend on.
Prerequisites: Comfortable with basic programming and school-level mathematics. We revise the statistics you need; we do not assume a maths degree.
What you will learn
Python for data work
NumPy and pandas on messy real data — loading, cleaning, reshaping and the bugs that silently change your answer.
SQL for analysis
Window functions, aggregation, joins at scale and writing queries a data team would accept.
Statistics you will defend
Distributions, sampling, confidence, A/B testing and the misreadings that make headlines.
Machine learning foundations
Regression, classification, trees and ensembles; feature engineering, leakage and honest validation.
Evaluation and communication
Choosing metrics that match the decision, and presenting results to people who will not read your notebook.
Deep learning essentials
Neural networks, training dynamics and when a simpler model is the correct answer.
ML in production
Pipelines, experiment tracking, packaging a model behind an API, monitoring drift and retraining.
What you finish with
The point of the track is the evidence, not the certificate. By the end you will have built and deployed:
- An end-to-end exploratory analysis with a written recommendation
- A supervised model with a defensible validation strategy
- An experiment analysis with correctly stated uncertainty
- A deployed prediction service with monitoring
Plus a Medhavio certificate of completion. That certificate is issued by us; it is not a university or government accreditation, and the portfolio above is the part an interviewer will actually look at.
Tools you will work in
- Python
- Pandas
- ML Ops
Product and technology names are trademarks of their respective owners and are listed only to describe what the track teaches. Naming them implies no affiliation or endorsement.
How the cohort runs
- Weekly live sessions in a small group, recorded so you can catch up.
- A project every module, reviewed line by line by a practising mentor.
- 1:1 mentor sessions you book when you are stuck or planning your next step.
- An AI study copilot for hints, code review and a revision plan built around your week.
- Interview preparation: mock rounds, portfolio review and negotiation practice.
- Community access that continues after the cohort ends.
Fees, inclusions and the free tier are on the pricing section. Cancellation windows are in the Refund & Cancellation Policy. We prepare you for interviews; we do not guarantee a job, a placement or a salary.