Carlson School of Management

Available dates

Oct 20—22, 2020
3 days
Minneapolis, Minnesota, United States
USD 4500
USD 1500 per day

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with Carlson School of Management.

Full disclaimer.

About the course

Business Analytics for Leaders is a 3-day professional development 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 the real world.

About This Program

Business analytics, including machine learning and artificial intelligence, has game-changing potential in every industry. However, significant barriers exist for executives 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.

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

Course overview:

Day 1

Morning

  • Winning with Data Analytics - The Four Pillars
  • Exploratory Analytics - Level 1 - Data Visualization
  • Predictive Analytics - Level 1 - Using Machine Learning

Afternoon

  • Communicating Data and Analytics
  • Managing Successful Analytics Projects

Day 2

Morning

  • Statistical Principles and A/B Testing for Business Analytics
  • Exploratory Analytics Using Maching Learning-Level 2
  • Analytics Using Machine Learning-Level 2

Afternoon

  • Predictive Analytics Using Maching Learning-Level 2
  • Analytics Workshop (Part 1)

Day 3

Morning

  • Advanced Issues in Exploratory and Predictive Analytics Using Machine Learning
  • Machine Learning at Big Data Scale
  • Unstructured Data Analytics: Text Mining

Afternoon

  • Organizational Design Issues and Talent Strategies
  • Deployng Analytics workshop (part 2)

Who should attend

  • 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

Trust the experts

Gediminas Adomavicius

Department Chair, Professor, Carolyn I. Anderson Chair in Business Education Excellence Information & Decision Sciences Education BS 1995 Mathematics Vilnius University MS 1998 Computer Science New York University PhD 2002 Computer Science New York University Expertise Electronic Ma...

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Ravi Bapna

Curtis L. Carlson Chair in Business Analytics and Information Systems; Associate Dean for Executive Education, Academic Director, Carlson Analytics Lab Information & Decision Sciences Education PhD 1999 Business Administration, Operations & Information Management University of Connect...

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De Liu

Associate Professor & 3M Fellow in Business Analytics; Academic Director, MS in Business Analytics Information & Decision Sciences Education PhD 2004 Management Science and Information Systems, University of Texas at Austin Master of Science 2000 Management Science and Engineering,...

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Ellen Trader

An accomplished executive with 15+ years of experience driving handson marketing initiatives and strategic consulting for global Fortune 500 companies. Expert at designing and implementing innovative sales, marketing, product development, and pricing strategies to drive revenue. Dedicated to ensu...

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Course reviews

Leveraging Analytics for Competitive Advantage - Carlson Executive Education

Downloadable materials

Available dates

Oct 20—22, 2020
3 days
Minneapolis, Minnesota, United States
USD 4500
USD 1500 per day

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with Carlson School of Management.

Full disclaimer.

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