Coding: Foundations of Data Science, Part 4.

Course Description

Data science professionals rely on a range of tools, from basic spreadsheets to advanced languages like R and Python. In these videos, we’ll cover the basic elements of the most important tools for data science. Coding is the fourth of seven courses designed to outline the principles and practices of applied data science.

Course Information

  • Introductory level
  • 16 streaming video tutorials
  • 1 hour 29 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 (4:48)

2. APPLICATIONS

  1. Spreadsheets (7:15)
  2. Tableau Public (9:06)
  3. SPSS (8:08)
  4. JASP (6:49)
  5. Other software (6:53)

3. WEB DATA

  1. HTML (3:17)
  2. XML (5:26)
  3. JSON (4:43)

4. LANGUAGES

  1. R (5:07)
  2. Python (5:57)
  3. SQL (4:44)
  4. C, C++, & Java (2:51)
  5. Bash (5:43)
  1. Regex (4:54)

6. CONCLUSION

  1. Next steps (2:46)