Statistics Fundamentals

2h 4m 10s
English
Paid

Course description

Master statistics for data-driven careers. Build a strong statistical foundation for data science, analysis, and decision making. Succeed in interviews and apply your knowledge to real-world problems.

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# Title Duration
1 Introduction 04:00
2 1. Random Variables 06:26
3 2. Mean, Variance, Standard Deviation 02:53
4 3. Covariance & Correlation 05:17
5 4. Probability Distribution Functions 12:42
6 5. Conditional Probability & Bayes Theorem 09:09
7 6. Introduction to Causal Analysis & Linear Regression 14:51
8 7. Hypothesis Testing & Statistical Significance 10:38
9 8. P-Values, Type I & Type II Errors, Confidence Intervals 18:53
10 9. Statistical Tests (Part 1) 17:36
11 10. Statistical Tests (Part 2) 13:59
12 11. Inferential Statistics (CLT & LLN) 07:46

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1Fundamentals of Statistics

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