CourseVerdict

Self-Driving Car Engineer Nanodegree vs Python Programmer 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

Self-Driving Car Engineer Nanodegree

3.7/ 5 · 42 opinions
24 positive11 neutral7 negative/ 42 total

DataCamp · AI & ML Courses

Python Programmer Career Track

3.7/ 5 · 30 opinions
18 positive8 neutral4 negative/ 30 total

Per-criterion

Content quality4.0 / 5

Reviewers praise the breadth — CV, sensor fusion, localisation, planning, control, ROS on Carla. The caveat is the curriculum is deep-learning-heavy and some flag this as the wrong architectural bet for real autonomous vehicles.

Instructor4.1 / 5

Sebastian Thrun, David Silver and the rotating industry instructors (Mercedes, BMW, NVIDIA, Uber ATG, Waymo alumni) get steady positive mentions. Reviewers who took the free CS373 first describe the nanodegree as a paid extension.

Value for money3.2 / 5

The biggest drag on the score. Original 2016-2017 price was ~$2,400; current pricing sits around $249-399/month, total ~$1,000-1,500. Flagged against free MIT 6.S094, MIT 6.832 and Stanford CS221/CS231n alternatives.

Support3.6 / 5

Original cohorts received mentor-graded project reviews and praised them highly, but later reviewers — including one of the most-cited HN voices — report Udacity "got rid of this feature" for self-paced learners. Slack community partially compensates.

Real-world use3.7 / 5

Projects are unusually applied — behavioural cloning, lane finding, sensor fusion, path planning, and a final integration on Udacity's real Carla vehicle via ROS. The gap is that industry has moved past the deep-learning-heavy approach taught.

Content quality3.5 / 5

A well-sequenced 7-course tour of Python foundations — data ingestion, pandas, list comprehensions, lambdas, OOP basics — but reviewers consistently describe each chapter as a crash course, with no exposure to environments, packaging or production workflow.

Instructor3.8 / 5

Hugo Bowne-Anderson, Filip Schouwenaars and Vincent Vankrunkelsven get repeat positive mentions and the introductory Python courses are widely praised. Quality is uneven across the seven courses — common to multi-author tracks.

Value for money4.0 / 5

At roughly $13-16 per month on the annual plan the breadth of access (600+ courses across Python, R, SQL, BI) is hard to beat. Monthly billing at $39 and the year-two renewal price draw consistent complaints.

Support3.4 / 5

No live mentorship, no cohort, no graded peer review — learners self-direct through hints, an AI explainer and community forums. The sandbox is excellent at unblocking syntax errors but does not replace human help.

Real-world use3.2 / 5

A "programmer" track that never lets you touch a real Python environment is a real gap. The sandbox hides venvs, pip, git, IDEs and dependency management — every reviewer who later moved into a job flags the same transition shock.

Scoring methodology applies identically to every course on the site — see the formula.