Building Statistical Summaries with R

سرفصل های دوره

This course covers inferential statistics techniques. Learn advanced techniques to compare means across categories, predictive models for regression and classification, and A/B testing to perform randomized experiments on two versions of a variable.

1. Course Overview

1. Course Overview

2. Understanding Statistical Summaries

01. Version Check

02. Prerequisites and Course Outline

03. The Role of Statistics in Understanding Data

04. Hypothesis Testing

05. P-values, Power, and Alpha of Statistical Tests

06. Introducing the T-test

07. The T-test for Different Use Cases

08. The Z-test

09. One-way ANOVA - Assumptions and Alternatives

10. Two-way ANOVA and Assumptions

11. Pearsons Chi2 Test

3. Solving Problems Using Statistical Inference

1. Demo - Preprocessing Data

2. Demo - One Sample T-test and Z-test

3. Demo - Two Sample T-test

4. Demo - Type I and Type II Errors

5. Demo - Performing Chi2 Analysis

6. Demo - Interpreting the Results of Chi2 Analysis

7. Demo - One-way ANOVA

9. Demo - Two-way ANOVA

4. Implementing Statistical Models

1. Continuous and Categorical Data

2. Linear Regression

3. Demo - Exploring Data for Regression Analysis

4. Demo - Performing Linear Regression and Interpretings Results

5. Logistic Regression

6. Odds Ratio and the Forest Plot

7. Demo - Performing Logistic Regression

5. Implementing Bayesian AB Testing

01. Introducing AB Testing

02. Distributions and Statistical Tests

03. Bayes Theorem Intuition

04. Frequentist Approach vs. Bayesian Approach

05. The Conjugate Prior

06. Understanding the Bayesian AB Test

07. Demo - Modelling Outcomes and Priors for the Bayes AB Test

10. Summary and Further Study

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تولید کننده: PluralSight