Skill Path

Software Engineering for Data Scientists

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.

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4,058 learners enrolled
  • Skill level

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    21 hours
  • Certificate of completion

  • Prerequisites

    2 courses
    We suggest you complete the following courses before you get started with Software Engineering for Data Scientists:
    • Getting Started with Python for Data Science
    • Python for Data Science: Working with Data

About this skill path

Data Scientists with software engineering skills are in high demand. Whether you want to incorporate software engineering into your own work or collaborate more effectively with engineering teams, this Skill Path will help you bridge the gap between data science and software engineering. Learn object-oriented programming, how to test and log code, git, and the command line.

Skills you'll gain

  • Collaborate and deploy with git
  • Use unit tests and logs
  • Work in the command line
  • Write object-oriented code


7 units • 18 lessons • 21 projects • 18 quizzes
  • 1

    Welcome to Software Engineering for Data Scientists

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

  • 2

    Software Engineering in Python I

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

  • 3

    Learn the Command Line

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

  • 4

    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.

  • 5

    Software Engineering in Python II

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

  • 6

    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.

  • 7

    Learn Git II: Git for Deployment

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

The platform

Hands-on learning

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Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    Codecademy Learner @ USA

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How it works

Skill paths help you level-up

  1. Get a specialized skill

    Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.
  2. Get step-by-step guidance

    We guide you through exactly where to start and what to learn next to build a new skill.
  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

Ready to learn a new skill?

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What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.