Data & Analytics
Classroom
Statistics for Data Science
Use probability, inference and experiments to make better-supported decisions from data.
AT A GLANCE
Course highlights
LevelBeginner
Duration8 Weeks
Learning formatClassroom
THE OVERVIEW
About this course
Develop statistical intuition through simulations and real datasets. Explore distributions, sampling, confidence intervals, hypothesis testing and regression while learning to distinguish evidence from unsupported conclusions.
BUILD YOUR SKILLS
What you will learn
- Summarize distributions and reason about sampling variability.
- Interpret confidence intervals and hypothesis tests.
- Analyze simple experiments and regression results with stated assumptions.
YOUR TOOLKIT
Tools & technologies
- Python
- SciPy
- pandas
- statsmodels
- Jupyter
BEFORE YOU BEGIN
Who should join?
School-level algebra and basic Python or spreadsheet experience.
SKILLS YOU BUILD
What you will learn
- Summarize distributions and reason about sampling variability.
- Interpret confidence intervals and hypothesis tests.
- Analyze simple experiments and regression results with stated assumptions.
TAKE THE NEXT STEP
Ready to explore Statistics for Data Science?
Speak with our counsellors and find the right learning path for you.