Framing and Planning Data Science Projects that Drive Business Impact

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.


You will learn to :

  • Clearly define a problem statement or question of interest
  • Define an analytic project including scope and methodology approach
  • Create a project plan to manage the analytics project
  • Establish stakeholder management and expectations
You may also be interested in:

Certification Programs
Data Mining Concepts and Techniques
Data Mining in R

Click here to go back to all newsletters and the newsletter sign up form.