When you enroll in this course, you'll also be enrolled in this Specialization.
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
There is 1 module in this course
In this course, you'll set up a powerful development environment, master essential Python syntax, and learn to leverage GitHub for seamless collaboration. By the module's end, you'll be equipped with the same foundational skills used by industry pros, including cutting-edge GenAI applications. Get ready to transform from a coding novice to a confident data explorer.
Upon completion, you'll be able to:
• Explain the role of Python in data science and how GitHub integrates into a modern data workflow.
• Describe Python’s core syntax, data types, control structures, and functions.
• Set up and navigate Jupyter Notebooks as an interactive development environment.
• Implement basic version control workflows using Git repositories, commits, and branches for data science projects.
• Apply collaborative Git practices through clear commit messages and branching strategies.
• Demonstrate the ability to set up a notebook environment and perform initial version control tasks through a challenge lab.
In this module, you'll set up a powerful development environment, master essential Python syntax, and learn to leverage GitHub for seamless collaboration. By the module's end, you'll be equipped with the same foundational skills used by industry pros, including cutting-edge GenAI applications. Get ready to transform from a coding novice to a confident data explorer.
What's included
1 video9 readings2 assignments2 ungraded labs
Show info about module content
1 video•Total 5 minutes
Getting Started with Jupyter Notebooks•5 minutes
9 readings•Total 85 minutes
Course Overview•5 minutes
Introduction to Jupyter Notebook with Python: Overview and Resources•15 minutes
Python Basics•10 minutes
Hello, Python!•10 minutes
Case Study: Data Environments in Industry•10 minutes
Version Control Best Practices•10 minutes
Familiarize with Git and GitHub•10 minutes
Git Basics for Data Scientists•10 minutes
Congratulations and Next Steps•5 minutes
2 assignments•Total 60 minutes
Graded Assessment: Environment Setup and GitHub•30 minutes
Coursera brings together a diverse network of subject matter experts who have demonstrated their expertise through professional industry experience or strong academic backgrounds. These instructors design and teach courses that make practical, career-relevant skills accessible to learners worldwide.
When will I have access to the lectures and assignments?
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.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
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.