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Software Engineering for Data Scientists

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Overview

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Data Scientists often work with engineering teams. Learn the software engineering skills you need to bridge the gap between data science and Includes **Git & Github**, **Python**, **Bash**, **Command Line**, **Unit Testing**, **Logging**, **Object-Oriented Programming**, and more.

Syllabus

Welcome to Software Engineering for Data Scientists

Preview what you will learn in Software Engineering for Data Science!

Software Engineering in Python I

Learn about the fundamental principles that differentiate programming for data science from programming for engineering.

Learn the Command Line

Discover the power of this simple yet essential text-based tool and increase your productivity as a developer.

Learn Git: Introduction to Version Control

If you've ever named a file "-final", "-final-final", etc., then you've already faced the problems that git and github solve.

Software Engineering in Python II

Keep building your engineering skills to make the most of your data science projects.

Learn Bash Scripting

In this course, you will learn how to improve your own programming process by writing bash scripts that save you precious time.

Learn Git II: Git for Deployment

Build your collaboration and version control skills even further with branching, markdown, teamwork, and deploying websites.

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