DATA SCIENCE: An INtroduction / FOUNDATIONS OF DATA SCIENCE, PART 1

Course Description

Data science sits at the intersection of statistics, computer programming, and domain expertise. This non-technical overview introduces the basic elements of data science and how it is relevant to work in the real world. Data Science: An Introduction is the first of five courses designed to outline the principles and practices of applied data science.

Course Information

  • Introductory level
  • 22 streaming video tutorials
  • 1 hour 40 minutes of instruction
  • Created by Barton Poulson
  • Published 23 September 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 {1:58}

DEFINING DATA SCIENCE

  • Demand for data science {5:45}
  • The data science Venn diagram {6:58}
  • The data science pathway {4:49}
  • Roles in data science {4:00}
  • Teams in data science {3:32}

CONTRASTS

  • Big data {4:57}
  • Coding {3:02}
  • Statistics {4:17}
  • Business intelligence {3:05}

ETHICAL ISSUES

  • Do no harm {6:02}

METHODS

  • Methods overview {2:21}
  • Sourcing overview {3:41}
  • Coding overview {3:32}
  • Math overview {4:00}
  • Statistics overview {4:03}
  • Machine learning overview {2:44}

COMMUNICATING

  • Interpretability {9:07}
  • Actionable insights {5:15}
  • Presentation graphics {7:12}
  • Reproducible research {6:11}

CONCLUSION

  • Next steps {3:11}