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 seven 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

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

Table of Contents

1. INTRODUCTION

  1. Welcome (1:58)

2. DEFINING DATA SCIENCE

  1. Demand for data science (5:45)
  2. The data science Venn diagram (6:58)
  3. The data science pathway (4:49)
  4. Roles in data science (4:00)
  5. Teams in data science (3:32)

3. CONTRASTS

  1. Big data (4:57)
  2. Coding (3:02)
  3. Statistics (4:17)
  4. Business intelligence (3:05)

4. ETHICAL ISSUES

  1. Do no harm (6:02)

5. METHODS

  1. Methods overview (2:21)
  2. Sourcing overview (3:41)
  3. Coding overview (3:32)
  4. Math overview (4:00)
  5. Statistics overview (4:03)
  6. Machine learning overview (2:44)

6. COMMUNICATING

  1. Interpretability (9:07)
  2. Actionable insights (5:15)
  3. Presentation graphics (7:12)
  4. Reproducible research (6:11)

7. CONCLUSION

  1. Next steps (3:11)