Advanced Statistics for Data Science
Teacher
Mr. Asif Mahmood JasraLast Update
06-December-2025
- Discription
Course Overview
This advanced-level course covers the statistical methods most used in data science, including hypothesis testing, regression, probability distributions, and Bayesian inference.
Requirements
Before enrolling, ensure you meet the basic prerequisites. These may include foundational knowledge, necessary tools, or specific skills required to fully benefit from the course. Check the list of requirements to make sure you're prepared for a smooth learning experience!
- Basic statistics
- Python or R knowledge
- math background
Description
Designed for aspiring data scientists, this course strengthens the understanding of statistical foundations that underpin machine learning. Topics include inferential statistics, ANOVA, chi-square tests, multivariate regression, and confidence intervals. Learners will apply these techniques in Python or R on real datasets. Emphasis will be on interpretation and application of results in data-driven decision-making. Weekly quizzes and a capstone statistical analysis project are included.
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