Data Fluency for Methodology Planning All Access
Students will learn about framing goals and needs, selecting data types and sources, selecting data analysis methods, and assessing data reliability.
Course Curriculum
Getting Ready to Rock!
Exclusive Instructor-led Live Events (Zoom)
Module 1 Lesson Plan
Pre-Reading: Prepping For This Course
Why Data Fluency? [Video Lesson]
Why Data Fluency? [Slide Viewer]
Why Data Fluency? [Slide File Download]
Module 2 Lesson Plan
Skill 1 [Video Lesson]
Skill 1 [Slide Viewer]
Skill 1 [Slide File Download]
Techniques for Better Defining Goals, Outcomes, and Hypotheses [Downloadable Job Aid]
Checkpoint A: Outcome-Centric Goals [Action Required]
Module 3 Lesson Plan
Skill 2 [Video Lesson]
Skill 2 [Slide Viewer]
Skill 2 [Slide File Download]
Module 4 Lesson Plan
Skill 3 [Video Lesson]
Skill 3 [Slide Viewer]
Skill 3 [Slide File Download]
Checkpoint B: Data Quality [Action Required]
Recommended Reading & Viewing
Career Planning Sidebar Bonus Resource
Data Sources Reference Sheet
In recent meetings, have you heard clients or colleagues talk about 1st versus 3rd party data, data veracity, behavioral data, blended data or perhaps even DMPs? And when these topics come up, do you feel confident that you understand the terms and their relevance to customer insights work? Today, the data-fluent researcher can choose from many types of data— including “big” and “small," quantitative and qualitative, primary and secondary, financial and behavioral, and more. Know your options, and how to assess their reliability and suitability for different decision-making needs.
In this market research training course, students will learn about framing goals and needs, selecting data types and sources, selecting data analysis methods, and assessing data reliability.
Upon course completion, you will be able to:
Watch the preview below.