Complete Hands-on Statistics for Data Science (With One to One Live Doubt Sessions)
Build an unshakable data science foundation by mastering statistics that turn raw data into clear, confident decisions.
Module 1 - Motivation to Learn Statistics8 Resources
Module 1 - Motivation to Learn Statistics
8 Resources
Module 2 - Probability and it's Concepts9 Resources
Module 2 - Probability and it's Concepts
9 Resources
Module 3 - Probability Distributions9 Resources
Module 3 - Probability Distributions
9 Resources
Module 4 - Normal Distribution8 Resources
Module 4 - Normal Distribution
8 Resources
Module 5 - Standard Normal Distribution7 Resources
Module 5 - Standard Normal Distribution
7 Resources
Module 6 - Lecture 5 Recap and Lecture 6 - Inferential Statistics5 Resources
Module 6 - Lecture 5 Recap and Lecture 6 - Inferential Statistics
5 Resources
Module 7 - Sample Statistics, Point Estimates and Central Limit Theorem4 Resources
Module 7 - Sample Statistics, Point Estimates and Central Limit Theorem
4 Resources
Module 8 - Determining Approximate MVUEs and Point Estimation9 Resources
Module 8 - Determining Approximate MVUEs and Point Estimation
9 Resources
Module 9 - Interval Estimation and Confidence Intervals17 Resources
Module 9 - Interval Estimation and Confidence Intervals
17 Resources
Module 10 - Hypothesis Testing20 Resources
Module 10 - Hypothesis Testing
20 Resources
Module 11 - Some other important Hypothesis Tests9 Resources
Module 11 - Some other important Hypothesis Tests
9 Resources
Module 12 - Multivariate Gaussian Distribution and Covariance Matrix4 Resources
Module 12 - Multivariate Gaussian Distribution and Covariance Matrix
4 Resources
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