Applications open: Dutch Accredited Bachelor — online · next intake coming up Book an introduction call
Bit Academy Pro

Become a Data Scientist

Learn to apply machine learning to real data: from feature engineering to careful evaluation. Focus on understandable models, not hype. Finish with a recognised Pro certificate.

Duration
Indicatively 15–24 mo
Pace
Your own pace
Completion
Recognised certificate
Price
€59.99 per month
Who it's for

This route fits you if…

  • You enjoy statistics, models and experiments
  • You want to go beyond dashboards: predict and classify
  • You work with Python and aren't afraid of maths
  • You want to combine the track with work or other commitments
Who it's not for

This is not a good choice if…

  • You mainly want to unlock data and build pipelines: choose Data Engineer
  • You mainly want to make analyses and dashboards: choose Data Analyst
What you'll be able to do

Where you stand after this track

  1. Build, evaluate and explain machine-learning models
  2. Work with Python, pandas, scikit-learn and notebooks
  3. Feature engineering, cross-validation and careful evaluation
  4. Recognised Pro certificate Data Scientist
Curriculum

From data to model

01

Python for data

Pandas, NumPy and notebooks: foundation for every data task.

Module 01
02

Statistics & EDA

Exploratory analysis, distributions, correlation versus causation.

Module 02
03

Supervised learning

Regression, classification and evaluation with scikit-learn.

Module 03
04

Unsupervised & feature engineering

Clustering, dimensionality reduction and building useful features.

Module 04
05

Final project

An end-to-end ML problem: from data to explainable model.

Module 05
What you'll build

Projects that become your portfolio

No lookalike to-do apps. Real projects with coach feedback. The kind you show in interviews.

  1. A classification project on a real dataset, including evaluation
  2. A predictive model with feature engineering and cross-validation
  3. A notebook in which you clearly present your approach and findings

Ready to start?

Schedule a no-strings intro call to discuss the route, your starting level and possible employer co-financing. Always check the current rates and terms during your intake.