Business leaders discussing data on laptop computers

Business Analytics for Leaders

Business Analytics for Leaders is a 3-day course that trains executives and senior business leaders on the capabilities of data analytics and how to implement analytics to achieve business goals. Participants will learn the concepts of descriptive, predictive, and prescriptive analytics, leadership best practices, as well as how to apply insights in their businesses.

Program Details

This program will be available in the spring of 2023.

Register by Credit Card Register by Invoice
In Person: Minneapolis, MN
$4,500

About This Program

Business analytics, including machine learning and artificial intelligence, has game-changing potential in every industry. However, significant barriers exist for leaders wishing to harness these emerging forces into their management practice. Companies that successfully develop advanced capabilities to leverage their data can make quicker, faster, and more informed decisions across all areas of their firms, creating a significant competitive advantage. This course will transform leaders into analytics champions within their organizations and help fuel data-driven cultures.

Learn how you can customize this program for your organization.

 

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Audience

  • Leaders across all functional areas including marketing, finance, information systems, operations and HR with P&L
  • Managers with significant project/functional responsibility
  • No prior technical analytics expertise is needed

Key Benefits

  • Learn how to build organizational capabilities to leverage machine learning and artificial intelligence for competitive advantage.
  • Explore the Carlson School’s Four Pillars of Analytics approach that integrates causal, exploratory, predictive and prescriptive analytics
  • Understand the transformative power of today’s analytics, including the broad scope of business questions that can now be answered
  • Learn how to unlock hidden insights with data - using descriptive, predictive and prescriptive approaches - to support faster, more effective decision-making
  • Gain foundational insight into new machine learning methods to predict future outcomes, e.g., customer churn, optimal product mix
  • Directly apply learnings to a real-world application during daily use case discussions
  • Increase communication skills and ability to partner with Analytics and IT teams
  • Learn best practices, including structured problem solving, in deploying analytics projects

This is a fantastic introduction to a fast moving area.  Data Analytics, Machine Learning, and AI will touch us all.  I now have the understanding to guide my organization to embrace the opportunities of this rapidly evolving area.  Well worth three days.

– PRESIDENT ANTUNES

Business Analytics for Leaders

Navigate the sea of data to create insights, inform decisions, and accelerate action. This course will transform leaders into analytics champions within their organizations and fuel a data-driven culture.

Schedule

Day 1
Morning
Winning with Data Analytics: The Four Pillars Framework
Exploratory Analytics Using Data Visualization (Level 1)
Afternoon
Exploratory Analytics Using Machine Learning (Level I)
Managing Successful Analytics Projects
Day 2
Morning
Causal Inference and A/B Testing
Predictive Analytics Using Machine Learning (Level 1)
Afternoon
Predictive Analytics Using Machine Learning (Level 2)
Causal Inference using Existing Data
Deploying Analytics Workshop
Day 3
Morning
Deploying Analytics Workshop (Contd.)
Strategies for Deploying Analytics in Your Organizations
Advanced Predictive Analytics
Afternoon
Unstructured Data Analytics: Text Mining
Explainability of Black Box Models
Dealing with Fairness and Bias Issues in Machine Learning

Additional Details

Faculty

Gedas Adomavicius
Department Chair, Professor, Carolyn I. Anderson Chair in Business

Gedas Adomavicius is the Professor of Information and Decision Sciences at the Carlson School of Management. He holds the Carolyn I. Anderson Chair in Business Education Excellence.

Ravi Bapna
Curtis L. Carlson Chair in Business Analytics and Information Systems; Associate Dean for Executive Education, Academic Director, Carlson Analytics Lab

Professor Ravi Bapna's expertise lies in helping companies reframe their understanding of analytics, AI, and machine learning, and then leverage that understanding for competitive advantage.

Ellen Trader
Managing Director, Carlson Analytics Lab

Ellen Trader is the Managing Director, Carlson Analytics Lab, Carlson School of Management, University of Minnesota. Ellen manages the experiential learning component of the Carlson School’s Master of Science in Business Analytics (MSBA) program. In the Carlson Analytics Lab, student-led teams solve real problems for corporate clients leveraging data analytics tools and techniques.

Register Today!

This program will be available in the spring of 2023.

Register by Credit Card Register by Invoice
$4,500

This program will be available in the spring of 2023.

Register by Credit Card Register by Invoice