The creative work of data science relies on the informed use of several tools. Languages like R, Python, SQL, and Bash, as well as applications like Tableau, Excel, or SPSS, can make your work fast, efficient, and insightful. In this course you'll get a concise overview of the range of tools used in data science and advice for choosing which ones to add to your own data science toolbox.

COURSE INFORMATION
  • Introductory level
  • 16 streaming video tutorials
  • 1 hour 28 minutes of instruction
  • Downloadable keypoints PDFs (available soon)
  • Downloadable workbook PDFs (available soon)
  • Created by Barton Poulson, PhD

COURSE BUNDLES

This course is available for purchase as an individual course or as part of the discounted course bundle Foundations of Data Science.

Course Curriculum

  • 1

    Introduction

    • Welcome

    • Course Files
  • 2

    Applications

    • Spreadsheets

    • Tableau Public

    • SPSS

    • JASP

    • Other software
  • 3

    Web Data

    • HTML

    • XML

    • JSON
  • 4

    Languages

    • R

    • Python

    • SQL

    • C, C++, & Java

    • Bash
  • 5

    Search

    • Regex
  • 6

    Conclusion

    • Next steps

About the instructor

Founder

Barton Poulson

Bart is the founder of datalab.cc and an advocate for data science and data literacy. He has taught people to work with data for over twenty years as a university professor, online instructor, consultant, collaborator, and author. Bart lives with his family in Salt Lake City.

What others have been saying about this course:

Use your Call To Action description to encourage students to sign up for your course

Sign up now!

You may also be interested in...