Data & Analytics
Classroom
Statistics for Data Science
Use probability, inference and experiments to make better-supported decisions from data.
Level
Beginner
Duration
8 Weeks
Learning format
Classroom
ABOUT THE COURSE
About Statistics for Data Science
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.
UNDERSTAND THE FIELD
What is Statistics for Data Science?
TOOLS & TECHNOLOGIES
Tools you will work with
- Python
- SciPy
- pandas
- statsmodels
- Jupyter
WHAT YOU WILL LEARN
Learning outcomes
- Summarize distributions and reason about sampling variability.
- Interpret confidence intervals and hypothesis tests.
- Analyze simple experiments and regression results with stated assumptions.
WHO SHOULD JOIN
Is this course right for you?
Prerequisites / eligibility
School-level algebra and basic Python or spreadsheet experience.
TAKE THE NEXT STEP
Ready to explore Statistics for Data Science?
Speak with our counsellors and find the right learning path for you.