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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#1: Introduction

All Course Lessons (12)

#Lesson TitleDurationAccess
1
Introduction Demo
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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Books

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#Title
1Fundamentals of Statistics

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