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學生對 加州大学圣地亚哥分校 提供的 Design Thinking and Predictive Analytics for Data Products 的評價和反饋

4.3
18 個評分
3 個審閱

課程概述

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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1 - Design Thinking and Predictive Analytics for Data Products 的 3 個評論(共 3 個)

創建者 Pratik P

Jul 11, 2019

This course takes you from learning to do many data analytics and Machine learning tasks manually to all the way doing it much more efficiently using the standard libraries. Overall, a great course to give you a rock solid foundation in this field.

創建者 Reinhold L

Jun 21, 2019

Very informative course and very good documentation as well as practical examples.

創建者 Surendar R

Jun 14, 2019

Course contents are very good, able to learn a lot.

However, very frustrating system is - project assignment submissions of last week has to wait for infinite time to be graded by peers. Wait time to get feedback on your submission is extremely long and very annoying to have such a long wait.

Either, mentors of this course should step forward and help in this review process at periodic intervals or, this system should go away and it should NOT be mandatory requirement to complete this course.

For poor grading system that is in place for project submission - am submitting 2 stars, otherwise I would have gone for 4 or 5 hands down