Statistics & Mathematics for Data Science & Data Analytics
Completed by Krunal Padwekar
March 7, 2026
15 hours (approximately)
Krunal Padwekar's account is verified. Coursera certifies their successful completion of Statistics & Mathematics for Data Science & Data Analytics
What you will learn
Master key descriptive statistics concepts, including mean, median, and skewness.
Gain a solid understanding of probability theory, including Bayes' Theorem and the Law of Large Numbers.
Learn hypothesis testing techniques such as t-tests and understand Type I and Type II errors.
Apply regression analysis techniques, including linear and logistic regression, to solve data problems.
Skills you will gain
- Category: Probability & Statistics
- Category: Statistics
- Category: Statistical Inference
- Category: Applied Machine Learning
- Category: Data Analysis
- Category: Probability Distribution
- Category: Data-Driven Decision-Making
- Category: Classification And Regression Tree (CART)
- Category: Data Science
- Category: Statistical Machine Learning
- Category: Data Preprocessing
- Category: Statistical Analysis
