Introduction to Data Science
Simplify coding for new data scientists - no matter the class size.
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Simplify coding for new data scientists - no matter the class size.
Managing Jupyter Notebooks is inefficient: Sharing, collecting, and grading notebooks across platforms adds friction and consumes valuable teaching time.
Feedback doesn’t scale well: Large classes mean students wait for guidance and can disengage before they improve.
Students often have no coding background: Many struggle with R or Python syntax, debugging, or even using an IDE for the first time.
Delegate managing to CodeGrade while you focus on teaching. You can assign, run, and grade notebooks all in one place.
Teaching analysis and code takes time, especially when answers aren’t one-size-fits-all. CodeGrade helps you scale personalized feedback without burning out.
Many students in data science are new to programming. CodeGrade removes tech barriers so they can focus on learning analysis, not fighting their tools.
Keep your notebook workflow. Add grading that actually works.
Browser-based code editor with syntax highlighting, autocomplete, and built-in autograding.
Multiple choice and code writing questions, graded automatically the moment students submit.
Grade code automatically across 175+ languages. Start free.
100+ pre-built assignments with autograding included.
Native Canvas, Blackboard, Moodle, and Brightspace integration.
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