This course equips you with professional version control strategies essential for collaborative data science projects. Beginning with fundamental GitHub integration for Jupyter notebooks, you'll establish a solid foundation in tracking, sharing, and managing analytical code.
Collaborate and Code: GitHub with Python and Jupyter
Collaborate and Code: GitHub with Python and Jupyter
Instructor: Professionals from the Industry
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
5 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
July 2025
Assessments
2 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 2 modules in this course
This introductory module focuses on implementing professional version control practices for data science and programming notebooks. You'll learn how to integrate your analytical work with GitHub's powerful tracking and collaboration features, enabling you to maintain organized project histories and share your work effectively. Through video instruction, hands-on lab experience, and knowledge validation, you'll establish the technical foundation needed for professional code management while being introduced to the EngageMetrics project that will contextualize your learning.
What's included
1 video1 reading1 assignment1 ungraded lab
This advanced module explores cutting-edge techniques to enhance your data science version control workflow. You'll first discover how to leverage generative AI to create comprehensive, consistent documentation that improves project clarity and team collaboration. The module then progresses to sophisticated branching strategies specifically designed for data science experimentation, enabling you to manage multiple analytical approaches simultaneously without compromising code stability. Through videos, hands-on labs, and interactive dialogues, you'll develop a professional-grade version control workflow that combines AI efficiency with structured experimentation techniques.
What's included
2 videos2 readings1 assignment2 ungraded labs1 plugin
Instructor
Offered by
Explore more from Data Analysis
Status: Free Trial
Status: Free Trial
Status: Free TrialFred Hutchinson Cancer Center
Status: Free TrialMeta
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,