Data Science & AI
intermediate
Probability & Statistics
A comprehensive course covering Statistics. Topics include probability theory, random variables, distributions, central limit theorem, hypothesis testing, confidence intervals, Bayesian statistics, and A/B testing. Designed for intermediate level learners.
12 hours
4 modules
12 lessons
0 enrolled
Dr
Dr. Priya Patel
Professor of Data Science & Artificial Intelligence
Free
Full access to all course materials
Course Content
Foundations of Probability Theory
3 lessons
Probability Theory
30 min
Random Variables
29 min
Applying Probability Theory
26 min
Understanding Central Limit Theorem
3 lessons
Distributions
30 min
Central Limit Theorem
26 min
Applying Distributions
20 min
Working with Confidence Intervals
3 lessons
Hypothesis Testing
30 min
Confidence Intervals
35 min
Applying Hypothesis Testing
20 min
Advanced Bayesian Statistics
3 lessons
Bayesian Statistics
23 min
A/B Testing
30 min
Applying Bayesian Statistics
28 min