Ready to learn some more fundamental data science skills you can utilize on your journey to becoming a data scientist or data engineer? Watch this step-by-step data science demo about Git and how to use it!
Git is a version control system; it provides a set of tools to track the evolution of source code. It is ubiquitous; anyone touching code will more than likely have to use Git. Data practitioners are expected to be comfortable and proficient with Git.
However, many people don’t really understand how Git works and they struggle to use it. They memorize a set of mysterious commands and when to use them. By understanding how Git works, one can start seeing Git as a tool to make your life easier rather than a burden and something you need to use.
In this webinar, you’ll learn:
- The Git data model and what is a DAG
- What makes a good commit and commit message
- What HEAD refers to
- How branching helps with development
- The difference between Git and GitHub
About our Instructor:
Born and raised in deep South Texas, Don studied chemical engineering at MIT and Cornell where he researched renewable energy systems. Don was attracted to data science because it is an interdisciplinary field that combines math, statistics, and computer science to derive insights of processes using data. He enjoys puns, wearing ties, cardigans, and everything fall. He is a Data Scientist in Residence.
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