CodeGrade for Jupyter and Data Science Courses

Overcome challenges in your course

Handling Jupyter Notebooks is time-consuming: Coordinating distribution, submission, and grading across different systems creates unnecessary hassle and eats into instruction time.

Feedback isn’t easily scalable: In large courses, students may face long delays in receiving support, which can lead to frustration and disconnection.

Many students are new to coding: They frequently face challenges with R or Python syntax, debugging, or simply navigating an IDE for the first time.

1. Simplify notebook management

Handling notebooks shouldn’t steal your teaching time. CodeGrade keeps everything organized and in one place.

Assign and collect notebooks directly through your LMS
Let students code in‑browser with auto‑save and built‑in version control
Grade using identical, pre‑configured environments for every learner

2. Reinforce statistical skills through hands‑on practice

Theory sticks when students apply it. CodeGrade makes it easy to build and test core data concepts.

Build confidence in core concepts with short quizzes
Catch errors on the spot via real‑time feedback that keep students on track
Watch students get more practice, motivation and confidence

3. Provide clear, actionable feedback

Targeted guidance turns mistakes into learning moments without slowing you down.

Give automatic feedback to any class size
Guide students in context using inline comments that point out exactly what to fix
Grade consistently and fairly with simple, transparent rubrics everyone understands