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
Note. To navigate the videos, click on the menu icon (☰) at the top right of the video.
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}