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Business Analytics: Decision Making with Data
Kellogg School of Management

Business Analytics: Decision Making with Data

Kellogg School of Management, Evanston
HomeData & AIKellogg School of ManagementBusiness Analytics: Decision Making with Data
8 weeksDuration
onlineFormat
EnglishLanguage
Data & AITopic

Interested in this program?

No upcoming dates are listed right now. Register your interest and Kellogg School of Management will let you know when the next cohort opens.

About This Program

Big data and analytics are more than technology and data science problems to be relegated to specialists. In fact, the hardest part of engaging analytics is not the data science or the technology. The major challenge is first identifying the right business problem to solve, and then determine if analytics can contribute to a solution. Direct leadership involvement in analytics is critical to reaching optimal business outcomes. This is largely possible when decision-makers get a working knowledge of data science that is grounded in practical application and equipped with leadership-focused insight. This program delivers material in an accessible, easy-to-understand format that is immediately applicable to your organization. Whether this is your first introduction to analytics, or you have some experience in related fields, you can start here. The frameworks in this program will build your working knowledge of data science and improve your data literacy. Additionally, you will understand the intuition behind machine learning algorithms and what artificial intelligence (AI) can accomplish for your business.

Why Kellogg School of Management?

Kellogg School of Management stands out for its distinctive emphasis on collaborative leadership, a deep integration of marketing and strategy, and a commitment to developing leaders who drive innovation. Its programs are designed for executives seeking to enhance their general management capabilities through a highly interactive and team-oriented learning environment.

Your Profile

  • Senior management who want to get a practical understanding of the application of analytics and identify the types of strategic business problems where analytics can add value
  • Mid-level functional managers who aim to use analytics to improve performance in their functional area and drive successful business outcomes
  • Senior or top-level executives who want to build an intuition for data science and be more effective in leading a culture that values analytics in decision making

Benefits

  • Build a working knowledge of data science
  • Identify where analytics adds value
  • Build the confidence required to operate in a data-driven environment
  • Develop the ability and intuition to judge "good analytics" from "bad analytics"
  • Understand the importance of experimentation platforms to drive business growth
  • Learn how to tell a persuasive story with data visualization tools

What You'll Learn

  • Leading with Analytics
  • Exploratory Analytics with Visualization
  • Distinguish Good from Bad Analytics
  • Causal Analytics
  • Causal Analytics in Action: The CPE Case
  • Predictive Analytics
  • Linking Analytics with Actions
  • Machine Learning and Artificial Intelligence

Frequently Asked Questions

How to Apply

  1. 1

    Check your eligibility

    Review the entry requirements listed on this page. Most executive programs require 8–15 years of professional experience.

  2. 2

    Compare programs

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  3. 3

    Contact the school

    Send a message directly to Kellogg School of Management via Gradia to request a brochure or speak with an admissions advisor.

  4. 4

    Prepare your application

    Gather your CV, reference letters, and any required test scores. Many EMBA programs waive standardised tests for senior candidates.

  5. 5

    Submit your application

    Apply directly through Kellogg School of Management's official application portal.

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