Deliver critical insights that power business strategy
Want your data analysis to have the intended impact? Understanding your stakeholders’ needs and solving business problems with critical insights makes your work more strategic and rewarding.
Business-Driven Data Analysis teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Identify the right question and the right data, optimize results, communicate them effectively and ensure stakeholder alignment.
In this course, you’ll practice new skills in different contexts and levels of difficulty, discuss with your peers and share feedback for improvement. You’ll leave the course able to figure out what a stakeholder truly wants, refine the project based on available data, produce results and provide strategic insights.
Business-Driven Data Analysis was developed in close partnership with Pragmatic Institute’s Data Advisory Board to ensure alumni can drive impact in an evolving data and business landscape.
Pragmatic Data Analysis Model
Our course is built around the Pragmatic Data Analysis Model: an optimized, repeatable approach for any data project or toolset (such as Python, R, Power BI or Tableau).
Students master the Pragmatic Data Analysis Model by completing five case studies, which are from representative business problems, and a unique final project implementing these skills within their own organizations using real-world data.
Our Business-Driven Data Analysis course is designed to deepen understanding with proven learning strategies. The curriculum provides time for students to embrace concepts, practice new skills and apply what they’ve learned to a challenge in their own work. Through a cycle of real-world business challenges (from a C-suite presentation to a data visualization request), presentations, feedback and reflection, they build on what they’ve learned.
Students practice new skills in different contexts and levels of difficulty, discuss with their peers and share feedback for improvement.
Data analysts will leave the course able to figure out what a stakeholder truly wants, refine the project based on available data, produce results and provide strategic insights.
Barton has consulted with governmental agencies, corporate clients, nonprofit organizations and educational institutions on how to use data to better fulfill their missions and serve their communities. He focuses on the interpretation and implementation of data analysis, as well as the social impact of data science.
Barton has a PhD in Social and Personality Psychology and is on the faculty of Utah Valley University. He has presented on data topics at the Open Data Science Conference, the Marketing Analytics and Data Science Conference, the Mountain West Arts Conference and academic events.