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