STATISTICS / FOUNDATIONS OF DATA SCIENCE, PART 5

Course Description

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

  • Videos are shared freely with a Creative Commons Attribution license


Note. To navigate the videos, click on the menu icon (☰) in the top left 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}