# Statistics

This is the fifth installment in the datalab.cc series "Foundations of Data Science."

# STATISTICS // FOUNDATIONS OF DATA SCIENCE, PART 5

Statistics is distinct from - but critical to - data science. In this non-technical, conceptual overview, you can learn how statistical practices such as data exploration, estimation, and feature selection give data science its power and insight. _Statistics_ is the final of five courses designed to outline the principles and practices of applied data science.

## Course Information

- Introductory level  
- 15 streaming video tutorials  
- 1 hour 18 minutes of instruction  
- Created by Barton Poulson  
- Released 26 June 2016

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## Table of Contents

### INTRODUCTION
- Welcome {4:01}

### EXPLORING DATA
- Exploration overview {2:23}  
- Exploratory graphics {8:01}  
- Exploratory statistics {5:05}  
- Descriptive statistics {10:15}

### INFERENCE
- Inferential statistics {4:28}  
- Hypothesis testing {6:04}  
- Estimation {8:04}

### CHOICES
- Estimators {5:29}  
- Measures of fit {3:30}  
- Feature selection {6:15}  
- Problems in modeling {5:58}  
- Model validation {3:50}  
- DIY {3:18}

### CONCLUSION
- Next steps {1:43}