Data Science projects often fail due to unclear scope, lack of project planning, and lack of clear alignment to business objectives. This 3 hour online course addresses how to scope, plan, and choose a project approach for analytics project success and clearly identify the problem and opportunities to be analyzed. Framing and planning drives all of the other phases of data science projects. Based on the CRISP-DM analytics lifecycle, this course describes the purpose, activities, and deliverables for the first phase of that lifecycle.
Module 0. About the Course (2 min)
Module 1. Opportunity and Problem Modeling (39 min)
Module 2. Data Science Project Charter (20 min)
Module 3. Data Science Project Methodology (26 min)
Module 4. Data Science Project Scope (58 min)
Module 5. Data Science Project Plan (15 min)
Module 6. Additional Documents (22 min)
–here- to download a more detailed outline of this course.
This exam tests knowledge and understanding of basic concepts, principles, and terminology of data science projects.
Number of Questions: 20
Time Limit: 40 Minutes
Passing Score: 70%
Once you pass the exam, you will receive a Certificate of Education
documenting that you have demonstrated mastery of the topic. Course
exams count towards eLC certification programs. Visit our Certification page for more information about our various programs.
We recommend that you take detailed notes and review the course material multiple times before taking this exam.
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