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.
Skill level
IntermediateTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary22 hoursProjects
21Prerequisites
2 coursesWe 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
Syllabus
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.
Certificate of completion available with Plus or Pro
Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.
Projects in this skill path
- practice Project
School Catalogue
It's time to build fluency in Object-oriented Python. In this next project, we're going to practice Classes in Python so you can hone your skills and feel confident taking them to the real world. Why? You'll gain confidence in extending classes to their subclasses, then linking their shared methods and properties. What's next? NYC schools, a digital catalog, more inheritance. You got this! - practice Project
Create your own Higher Order Functions
Practice creating custom higher-order functions. - practice Project
ATM Logging
You are developing a mobile ATM application that will handle bank transactions such as deposits and withdrawals. With the original design of this application, you used print statements to print helpful information to the console, such as amounts entered for each transaction, transaction status, and date and timestamps to see when each transaction occurred.
Earn a certificate of completion
Show your network you've done the work by earning a certificate of completion for each course or path you finish.- Show proofReceive a certificate that demonstrates you've completed a course or path.
- Build a collectionThe more courses and paths you complete, the more certificates you collect.
- Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.
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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
Skill paths help you level-up
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.Get step-by-step guidance
We guide you through exactly where to start and what to learn next to build a new skill.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?
Get started on Software Engineering for Data Scientists with a free Codecademy account.StartLooking for something else?
Related resources
- Article
Git Setup for Mac and Windows Computers
Never fear losing work with this professional versioning system - Article
Set Up with Git and GitHub
Never fear losing work with this professional versioning system - Article
How to Use Git: A Step-by-Step Tutorial
Learn how to use Git efficiently to track changes in your code, collaborate with others, and simplify your development process. Master version control with our step-by-step guide!
Related courses and paths
- Course
Learn Git & GitHub
Use our beginner friendly Git course to integrate Git and GitHub and manage versions of your projects using Git branches.With CertificateBeginner Friendly4 hours - Career path
Machine Learning/AI Engineer
Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.Includes 7 CoursesWith CertificateIntermediate50 hours - Free course
Learn Git: Introduction
Learn how to track changes in your code and switch between different versions with Git, an open-source version control system.Beginner Friendly1 hour
Browse more topics
- Python3,905,256 learners enrolled
- Data engineering2,525,600 learners enrolled
- Data science4,840,026 learners enrolled
- Developer tools308,639 learners enrolled
- Bash/Shell358,930 learners enrolled
- Code foundations7,903,250 learners enrolled
- Computer science6,370,666 learners enrolled
- Web development5,297,577 learners enrolled
- For business3,696,246 learners enrolled
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.