Machine Learning Engineer Nanodegree vs Data Scientist with Python Career Track
Same Bayesian formula, same rubric — so the difference in scores reflects the difference in the courses, not the difference in how we evaluated them.
Udacity · AI & ML Courses
Machine Learning Engineer Nanodegree
DataCamp · AI & ML Courses
Data Scientist with Python Career Track
Per-criterion
Machine Learning Engineer Nanodegree
Reviewers consistently praise the project curation and AWS SageMaker coverage, but the deep learning section is widely flagged as too short and the lectures lean engineering-first rather than theory-first.
Instructor quality on individual lessons is strong (clear videos, mix of Jupyter notebooks and text), but the program has many authors and no single pedagogical voice across the four-course track.
The biggest drag on the score. Monthly subscription at $249-399 makes the total cost roughly $800-1500+, and reviewers consistently compare it unfavourably to cheaper Coursera, Georgia Tech OMSCS or fast.ai alternatives.
Mentor-graded project reviews are the most praised feature across the entire sample. Multiple reviewers report personalised written feedback within 30-45 minutes and treat this as the main differentiator vs MOOCs.
Projects are real and end-to-end (SageMaker deployment, sentiment analysis, capstone) which transfers better than passive video courses, but reviewers flag heavy use of boilerplate code as a brake on independent skill-building.
Data Scientist with Python Career Track
Scoring methodology applies identically to every course on the site — see the formula.