skill PathSoftware Engineering for Data Scientists

Basic software engineering skills are essential to working on engineering teams, and data scientists who have those skills are in high demand. As you will see in this Skill Path, the tools are a little different (i.e., bash scripting, unit testing, and git), but the goals are the same: solving problems with data. This Skill Path will get you ready to bridge the gap between data science and software engineering. By the end of it, you will be ready to work with and on engineering teams.



Git & Github, Python, Bash, Command Line, Unit Testing, Logging, Object-Oriented Programming


Some Python

For those who want to:

  • Develop the engineering skills needed to work collaboratively on an engineering team
  • Make your code more efficient and reslient
  • Transform local code into production-ready code


Certificate of Completion

What will you be able to do?

Here are just a few things you'll be able to do with this skill.

What will you be able to do?

Here are just a few things you'll be able to do with this skill.


Leverage unit testing, logging, and parallel programming to make more efficient and resilient programs.


Use Git and Github for version control and coordinated work.


Use the command line to navigate, access, and modify files and folders on your computer—all without a mouse

You really feel like there's nothing you can't learn, which in turn builds so much confidence in your skills and gives the momentum to keep learning.

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