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

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

  • Released 26 July 2016

Data science is the "sexiest job of the 21st century." In this concise and insightful course, you'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research.

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