数据科学的统计和假设检验

Statistics and Hypothesis Testing for Data science

上一讲： 1. Introduction to Statistics and its importance

下一讲： 3. Introduction to Python for Statistical Analysis

视频列表

1. Introduction to Statistics
1. Introduction to Statistics and its importance
2. Explain the role of statistics in data analysis
3. Introduction to Python for Statistical Analysis
2. Introduction to Descriptive Statistics
1. Types of Data
2. Measures of Central Tendency
3. Measures of Spread
4. Measures of Dependence
5. Measures of Shape and Position
6. Measures of Standard Scores
3. Introduction to Basic and Conditional Probability
1. Introduction to Basic Probability
2. Introduction to Set Theory
3. Introduction to Conditional Probability
4. Introduction to Bayes Theorem
5. Introduction to Permutations and Combinations
6. Introduction to Random Variables
7. Introduction to Probability Distribution Functions
4. Introduction to Inferential Statistics
1. Introduction to Normal Distribution
2. Introduction to Skewness and Kurtosis
3. Introduction to Statistical Transformations
4. Introduction to Sample and Population Mean
5. Introduction to Central Limit Theorem
6. Introduction to Bias and Variance
7. Introduction to Maximum Likelihood Estimation
8. Introduction to Confidence Intervals
9. Introduction to Correlations
10. Introduction to Sampling Methods
5. Introduction to Hypothesis Testing
1. 1. Fundamentals of Hypothesis Testing
2. Introduction to T Tests
3. Introduction to Z Tests
4. Introduction to Chi Squared Tests
5. Introduction to Anova Tests