If you’re looking for expert-led, battle-tested training that goes beyond the Pragmatic Framework, then you need the Pragmatic Learning Network.
Transform your teams with outcome-based learning
The PAC is a new online collaboration space for product professionals to work together to exchange the tools, examples and tactics that move the needle.
How data mature is your organization?
Complete the Pragmatic Institute Data Maturity Assessment to find out if you’re making the most of your organization’s data.
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.
Get to the crux of a problem by asking the right questions to create objective, measurable goals.
Optimize your processes and adopt a standardized approach for working with data.
Select the most powerful yet efficient method to gather and transform data for a problem.
Minimize misunderstanding, share only what’s essential, and articulate the value and impact of your findings.
You must be able to interpret, clean and analyze data using spreadsheets before attending. You will complete assignments using your preferred program(s), so familiarity with at least one of the following is a prerequisite: PowerBI, Python, R, SQL, Tableau, and/or related tools and software. Looking to acquire these skills? Check out courses from our sister company, The Data Incubator.
$2,400.00 / One Time +Taxes
Our course is built around the Pragmatic Data Insights Model: an optimized, repeatable approach for any data project or toolset (such as Python, R, Power BI or Tableau).
Students master the Pragmatic Data Insights 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.
Course Instructor
Dr. Susan M. Gracia has been an educational research and evaluation consultant for more than 20 years—conducting analytics, assessment and evaluation projects for organizations inside and outside the U.S. She was a professor for eight years at Pontificia Universidad Católica del Perú and an assistant professor at Northeastern University in the data analytics master’s program. Susan was formerly Director of Assessment at Rhode Island College and Simmons College, where she worked with faculty to identify KPIs and data collection procedures, analyze data, and utilize findings for informed decisions and continuous improvement. She has developed and delivered all levels of data training—from data understanding and basic analysis to data visualization, predictive analytics and data mining.
Susan has a PhD in Educational Research, Measurement and Evaluation. She earned a Certificate in Data Science from the University of California and a Data Analytics in R Certificate from Cornell University. The recipient of several prestigious fellowships (such as the 2012 Fulbright Scholar Grant to Peru) Susan has presented on data-related topics at conferences, published articles in journals, and authored research and evaluation reports and book chapters.
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Before you begin working with the data, you need to understand what you’re solving for. Gathering context and aligning around goals with your stakeholders from the outset will help you avoid disconnects and deliver actionable insights. Discover the most vital questions to ask before embarking on a data analysis project in our in-depth guide, “Define: Laying the Foundation for Successful Data Analysis.”
