Learn statistics through intuition and real data instead of memorised formulas. First the concepts and correct interpretation, then the same analyses done reproducibly in Python. Directly useful for theses, research and business analysis.
Program modules
- Descriptive statistics & probability · 10 hours
- Inferential statistics · 10 hours
- Regression & modelling · 10 hours
- Applied statistics with Python · 24 hours
Projects you will build
- End-to-end statistical analysis report on a real dataset
- A/B test design and interpretation
- Regression model and reporting of findings
Who is it for?
- Master’s / PhD students working on theses and research
- Analysts and managers who want data-driven decisions
- Anyone who wants a solid foundation before data science
This is a paid program and fees are collected at final registration. Why pre-register? A class only opens once it reaches at least 12 participants; pre-registration tells us when that happens, and nothing is charged at this stage.