Data Science Methodology by Coursera
Course Features
Duration
8 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Teaching Type
Self Paced
Video Content
8 hours
Course Description
Course Overview
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Describe what a methodology is and why data scientists need a methodology
Describe the six stages in the Cross Industry Process for Data Mining (CRISP-DM) methodology including Business Understanding and Data Understanding
Describe some of the use cases for different analytic models and approaches, such as Predictive, Descriptive, and Classification models
Explain the importance of identifying the correct sources of data for your data science project
Course Instructors
Alex Aklson
Ph.D., Data Scientist
Polong Lin
Data Scientist
Course Reviews
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