Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Introduction to Statistics and Hypothesis Testing
31 Learning Materials
Introduction to Statistics
Introduction to Statistics and It's Importance
Video
5:58
The Role of Statistics in Data Analysis
Video
5:22
Introduction to Python for Statistical Analysis
Video
5:31
Introduction to Descriptive Statistics
Types of Data
Video
7:58
Measures of Central Tendency
Video
6:18
Measures of Spread
Video
4:37
Measures of Dependence
Video
5:6
Measures of Shape and Position
Video
9:37
Measures of Standard Scores
Video
9:37
Introduction to Basic and Conditional Probability
Introduction to Basic Probability
Video
11:44
Introduction to Set Theory
Video
6:58
Introduction to Conditional Probability
Video
5:12
Introduction to Bayes Theorem
Video
8:23
Introduction to Permutations & Combinations
Video
7:47
Introduction to Random Variables
Video
5:25
Introduction to Probability Distribution Functions
Video
13:43
Introduction to Inferential Statistics
Introduction to Normal Distribution
Video
13:32
Introduction to Skewness and Kurtosis
Video
9:1
Introduction to Statistical Transformations.mp4
Video
12:46
Introduction to Sample and Population Mean
Video
4:57
Introduction to Central Limit Theorem
Video
5:8
Introduction to Bias and Variance
Video
7:28
Introduction to Maximum Likelihood Estimation
Video
6:53
Introduction to Confidence Intervals
Video
5:12
Introduction to Correlations (1)
Video
18:27
Introduction to Sampling Methods
Video
17:00
Introduction to Hypothesis Testing
Fundamentals of Hypothesis Testing
Video
7:9
Introduction to T Tests
Video
9:00
Introduction to Z Tests
Video
5:37
Introduction to Chi Squared Tests
Video
15:16
Introduction to Anova Tests
Video
3:30
Course Instructor
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