3. Statistics for Data Science and Business Analysis | Business Analysis | GAMBIT Education Center

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3. Statistics for Data Science and Business Analysis

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1. Understanding the difference between a population and a sample

1. Understanding the difference between a population and a sample

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Section List

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2. Sample or population data

3. Statistics for Data Science and Business Analysis - 1. Introduction

3. The fundamentals of descriptive statistics

4. Measures of central tendency, asymmetry, and variability

5. Practical example descriptive statistics

6. Distributions

7. Estimators and estimates

8. Confidence intervals advanced topics

9. Practical example inferential statistics

10. Hypothesis testing Introduction

11. Hypothesis testing Let's start testing!

12. Practical example hypothesis testing

13. The fundamentals of regression analysis

14. Subtleties of regression analysis

15. Assumptions for linear regression analysis

16. Dealing with categorical data

17. Practical example regression analysis

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