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Business-Driven
Data Analysis

Deliver critical insights that power business strategy

  • Figure out what a stakeholder truly wants, refine the project based on available data, produce results, and provide strategic insights
  • Learn a proven and repeatable approach you can leverage across data projects and toolsets
  • Move beyond the spreadsheet, deliver actionable findings, and ensure alignment with stakeholders
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Our Approach

Business-Driven Data Analysis is designed to help you translate a business problem into data analysis that provides actionable insights. The curriculum provides you with time to embrace concepts, practice new skills, and apply what you’ve learned to a challenge in your own work.

Through a cycle of real-world business challenges (from a C-suite presentation to a data visualization request), presentations, feedback and reflection, you’ll build on what you’ve learned. 

In this interactive, live masterclass led by experienced instructors, you’ll practice new skills in different contexts and levels of difficulty, discuss with peers, and share feedback for improvement. Transform the way you present insights and advance from a tactical role to being a strategic contributor for your organization.

You’ll leave the course able to optimize your data projects, solve business problems with critical insights, and elevate your career.

Business-Driven
Data Analysis

$2,400.00 / One Time  +Taxes

As low as $107.92/month with Affirm logo.
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Common Roles:

The course is for data analysts, business analysts, operations analysts, insights analysts, and other data practitioners who want to drive business impact.

Live Online

  • 2 hours per session, meeting twice a week
  • 8 weeks
  • Office hours
  • No travel
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Corporate Training

  • Timeframe tailored to your team’s needs
  • In-course project customized to your business context
  • Live online or onsite
  • No travel
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Course Tools:

  • Certification
  • Pragmatic Data Insights Model
  • Five representative data analysis assignments
  • Final project applying the model to solving a business problem at your organization
  • Communication Styles Guide
  • Define Guide
  • Prepare Guide
  • Refine Guide
  • Analyze Guide
  • Present Guide

What you’ll learn in Business-Driven Data Analysis

Translate Business Needs
into Achievable Data Projects

Get to the crux of a problem by asking the right questions to create objective, measurable goals.

  • Identify the real business problem and the desired outcome
  • Explore potential data sources and establish a timeline

Learn a Proven and Repeatable
Approach to Data Analysis

Optimize your processes and adopt a standardized approach for working with data.

  • Analyze data and communicate insights more effectively
  • Leverage the same approach no matter the context for greater efficiency

Identify the Fastest Path to
Actionable Insights

Select the most powerful yet efficient method to gather and transform data for a problem.

  • Weigh the pros and cons of different techniques in relation to the problem
  • Determine the best methodology for the project

Communicate Effectively with
Diverse Stakeholders

Minimize misunderstanding, share only what’s essential, and articulate the value and impact of your findings.

  • Frame your findings and their implications with storytelling
  • Visualize information to improve stakeholder understanding

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.

An eight-week, cohort-based learning path

  • Week 1: Critically think through the data analysis process to deliver actionable insights
  • Week 2: Effectively communicate and present your findings with expected ROI
  • Week 3: Focus on the business problem and ensure alignment with stakeholders
  • Week 4: Identify the most useful methods connecting your analysis to business insights
  • Week 5: Revisit questions and stakeholder expectations as challenges arise in the analysis
  • Week 6: Analyze the data with purpose and focus on controllable factors that bring the desired outcome
  • Week 7: Improve the way you learn and collaborate in the data analysis space
  • Week 8: Use a business problem from your organization by applying what you’ve learned

Homework completed outside of class (2-4 hours per week) ensures immediate application.

Data Insights Model graphic

Pragmatic Data Insights Model

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.

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What our students are saying

I’m actually implementing what I learned here in my current work and continuously trying to teach it to my team as well. Setting the right expectations when managing projects was an important takeaway, because sometimes we tend to overcommit with excitement. For example, if stakeholders are asking for some information not available in my data set, letting the person know we can look at the second release of the data and discuss what approvals are required to get the data.
People Analytics Data Lead at Global Energy Company
One of the most important things I learned in this course, and will start applying, is the way presentations are structured. We used to put all the recommendations at the end, but now I’ll bring those to the forefront. I also liked learning how to share what we can and cannot answer with the data. This is very critical, as sometimes we spend a lot of time trying to solve what cannot be solved. Communicating that better will prevent me from wasting time.
Data Practitioner at Global Energy Company
One of the key things this course has helped me to think about is what are the business needs and what the person is looking for. We have access to thousands of records, but we probably just need half of that to provide the answer. This course also taught me to understand what the question is being asked, simplify our findings, and not go into too much detail because it’s most likely not needed during that face of the approach.
Data Practitioner at Global Energy Company
This is an amazing course. Its live format provided an efficient environment with instant feedback from both sides. With the instructor's outstanding presenting skills and real-life insights, the course equipped us with a solid framework for tackling every stage of a data analysis project: Define, Prepare, Refine, Analyze, Present.
Viorel CazacuHead of Controlling, Inditex
What an invaluable learning experience, a real-eye opener! I highly recommend this course to anyone who wants to learn how to deliver timely data analysis with actionable insights and strong return on investment! I have immense gratitude to the instructor and my course teammates.
Anar KhamzayevaPh.D., Adjunct Faculty and Senior Institutional Research Analyst at The American University of Rome
This course really helps you identify where there's going to be greater output based on input. You learn to consider that intersection of value, time, and cost in your approach to working with data so you can keep it practical, in a way that your stakeholder can implement.
Anne GuentherStrategic Marketing Manager
My big weakness is presentation. I have a habit of trying to drag people down into the details of the data because I find it interesting, but they don’t want to go there. Business-Driven Data Analysis gave me some perspective. It really helped me to learn and respect refining that skill so I can improve my presentations.
M. Stuart BoyleResearch Analyst at the Center for Economic and Business Research at Western Washington University
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Instructor

Marilyn Coleman

Marilyn Coleman

Marilyn has over 15 years of experience in data analysis, business analytics, and technical writing. Prior to joining Pragmatic, she led the implementation of operational self-serve business intelligence at Educational Testing Service. She has a passion for empowering others to use data to organize and simplify what appears to be chaotic and complex.

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Business-Driven Data Analysis

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