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Learner Reviews & Feedback for Design Thinking and Predictive Analytics for Data Products by University of California San Diego
86 ratings
About the Course
This is the second course in the four-course specialization Python Data Products for Predictive Analytics, building on the data processing covered in Course 1 and introducing the basics of designing predictive models in Python. In this course, you will understand the fundamental concepts of statistical learning and learn various methods of building predictive models. At each step in the specialization, you will gain hands-on experience in data manipulation and building your skills, eventually culminating in a capstone project encompassing all the concepts taught in the specialization.
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26 - 33 of 33 Reviews for Design Thinking and Predictive Analytics for Data Products
By Reinhold L
•Jun 21, 2019
Very informative course and very good documentation as well as practical examples.
By Mahendra S G
•Apr 5, 2026
Very good course
By Rajani N A
•Apr 7, 2026
Good
By Sebastian R B
•Feb 20, 2021
Good introduction to the concepts of machine learning: Linear Regression and Classification (Logistic Regression)); however, not good emphasis was made to the application nor code.
By Manshing D
•Apr 5, 2026
Project Submission is very problematic
By Olugbenga O A
•Jan 18, 2020
The Technical parts felt too rushed.
By Rekha P
•Apr 7, 2026
PLEASE MAKE IT EASY TO UNDERSTAND
By Akhilesh K P
•Apr 3, 2026
nice