Design Thinking and Predictive Analytics for Data Products
About this 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.Created by: University of California San Diego

Related Online Courses
The React Fundamentals course is designed to provide a comprehensive introduction to React, the popular JavaScript library for building user interfaces. This course is ideal for web developers who... more
This training course introduces Cloud NGFW. Topics include how Cloud NGFW provides centralized firewall management, centralized firewall visibility, advanced threat protection, and firewall... more
This is a self-paced lab that takes place in the Google Cloud console. Cloud SQL for PostgreSQL Database Observability and TuningCreated by: Google Cloud more
With generative AI, a new technology era has begun. Software developers can leverage this revolutionary technology to write high-quality code with fewer bugs, which will increase their overall... more
This is a self-paced lab that takes place in the Google Cloud console. This lab will provide an introductory, hands-on experience with Generative AI on Google Cloud.Created by: Google Cloud more