Catalogue average
3.9
across 18 courses
Range
2.7–5.0
worst course to best course
Reviews read
328
across those courses
The courses
Generative AI for University LeadersVanderbilt University5.0Coursera 4.8Holds up
4.8Coursera 4.7Holds up
AI For EveryoneDeepLearning.AI4.7Coursera 4.8Holds up
AI Python for BeginnersDeepLearning.AI4.5Coursera 4.8Holds up
4.5Coursera 4.7Holds up
4.4Coursera 4.8Holds up
Generative AI for EveryoneDeepLearning.AI4.0Coursera 4.8Padded
3.9Coursera 4.9Padded
3.8Coursera 4.9Padded
Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and OptimizationDeepLearning.AI3.8Coursera 4.9Padded
Unsupervised Learning, Recommenders, Reinforcement LearningDeepLearning.AI3.8Coursera 4.9Padded
Machine Learning in ProductionDeepLearning.AI3.6Coursera 4.8Padded
3.5Coursera 4.8Padded
Supervised Machine Learning: Regression and ClassificationDeepLearning.AI3.3Coursera 4.9Inflated
3.2Coursera 4.9Inflated
3.1Coursera 4.7Inflated
Agentic AIDeepLearning.AI3.0Coursera —No rating
2.7Coursera 4.8Inflated
Teaches with
Dr. Jules WhiteJeff Maggioncalda, Coursera CEOIsa FulfordHarrison ChaseNikita NamjoshiAarti BagulGeoff LadwigEddy ShyuKian KatanforooshYounes Bensouda Mourri
Coursera credits Andrew Ng with 53 courses; Starisk has scored 18 of them so far.
The average weights each course by the reviews we read, so a course with four readable reviews does not pull as hard as one with twenty. It is still a small sample: 328 reviews in total.
A course taught by several people counts for everyone on it. The score is the same one the course page shows — what the most-upvoted reviews say — not a verdict on the teaching.The method.
