Machine Learning Scientist with Python 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.
DataCamp · AI & ML Courses
Machine Learning Scientist with Python
DataCamp · AI & ML Courses
Data Scientist with Python Career Track
Per-criterion
Machine Learning Scientist with Python
Career track is broad and well-sequenced across 23 courses, but reviewers consistently describe the ML chapters as "crash courses" — useful introductions that lack the depth of Coursera, edX or fast.ai.
Individual instructors like Andreas Müller, Allen Downey and Hugo Bowne-Anderson get strong praise, but there is no single pedagogical voice across the 23-course track and reviewers note quality varies course by course.
At roughly $13-16 per month on the annual plan the breadth of access (600+ courses) is hard to beat. Monthly billing at $39 and the year-two renewal price draw consistent complaints.
No live mentorship or cohort Q&A — learners self-direct through hints, AI assistant and community forums. The DataLab AI explainer helps but is not a substitute for human support.
Sandbox environment removes setup friction but does not teach IDEs, virtual environments, git or messy real-world data pipelines. Fill-in-the-blank exercises limit independent problem-solving.
Data Scientist with Python Career Track
Scoring methodology applies identically to every course on the site — see the formula.