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.
Design Thinking and Predictive Analytics for Data Products
Design Thinking and Predictive Analytics for Data Products
This course is part of Python Data Products for Predictive Analytics Specialization
Instructors: Julian McAuley
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Gain insight into a topic and learn the fundamentals.
113 reviews
Intermediate level
Some related experience required
8 hours to complete
Flexible schedule
Learn at your own pace
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Taught in English
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This course is part of the Python Data Products for Predictive Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
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- Develop job-relevant skills with hands-on projects
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There are 5 modules in this course
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Showing 3 of 113
PM
Reviewed on Apr 6, 2026
this platform provides an oppertunity to spread my knowledge beyond my careerline
AM
Reviewed on May 7, 2021
It was great course ,helped me in getting better understanding of data and do predictive modeling.
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