Tutorial: Correlation and Causation | YouAccel

Course Content
Course Summary
Course Files
Introduction
About the course - 03:08
Data Exploration and Descriptive Statistics
Data Types - 11:46
Frequency Types - 04:47
Distributional Shapes - 03:16
Central Tendency - 12:01
Describing Spread - 14:02
Chapter Summary - 01:38
Correlation and Linear Regression
Correlation and Causation - 15:03
Introduction to Simple Linear Regression - 05:44
Implementing Simple Linear Regression - 22:05
Assumptions of Simple Linear Regression - 10:46
Chapter Summary - 02:09
Introduction to Probability Theory
Section Breakdown - 00:53
Introduction to Probability and Randomness - 03:33
Sets, Independence, Conditional Probabilities - 11:42
Joint Probabilities & Bayes Law - 10:30
Chapter Summary - 01:44
Probability Distributions
Introduction to Random Variables - 02:21
Introducing Probability Distributions - 01:18
Discrete Distributions - 07:14
Continuous Distributions - 07:08
Cumulative Probabilities and Discrete - 03:26
Cumulative Continuous - 04:24
Chapter Summary - 01:58
Sampling Distributions
Introduction - 00:52
Why Sample? - 16:48
Sampling Estimators - 08:26
Chapter Summary - 01:52
Confidence intervals
Introduction to Confidence Intervals - 10:22
Example 1 - 04:12
Example 2 - 06:12
Example 3 - 03:58
Sample Sizes & Inference - 03:06
Chapter Summary - 01:23
Statistical Inference & Hypothesis Testing
Introduction to Hypothesis Testing - 04:07
The Hypothesis Testing Process - 04:25
Assumptions Formulae and Examples - 04:36
Example 1 - 04:18
Example 2 - 03:10
Example 3 - 03:23
Confidence Intervals - 02:30
Errors - 03:36
Chapter Summary - 01:39

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Correlation and Causation

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