CODING // FOUNDATIONS OF DATA SCIENCE, PART 3

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 third of five 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

  • Created by Barton Poulson

  • Released 18 May 2016

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

Table of Contents

INTRODUCTION

  • Welcome {4:48}

APPLICATIONS

  • Spreadsheets {7:15}
  • Tableau Public {9:06}
  • SPSS {8:08}
  • JASP {6:49}
  • Other software {6:53}

WEB DATA

  • HTML {3:17}
  • XML {5:26}
  • JSON {4:43}

LANGUAGES

  • R {5:07}
  • Python {5:57}
  • SQL {4:44}
  • C, C++, & Java {2:51}
  • Bash {5:43}
  • Regex {4:54}

CONCLUSION

  • Next steps {2:46}