Predictive Analytics

BA|Business Analytics

Study data-driven business intelligence challenges and tools such as data mining and machine learning techniques and apply data-driven intelligence to improve decisions and estimate the expected impact on performance.

Objective

Across industries, routine decisions and competitive strategies increasingly rely on data-driven business intelligence. Unprecedented volumes of rich data can now be analyzed to predict the consequences of alternative courses of action and guide decision-making. The urgency to utilize data-driven intelligence spans industries, and this class provides an introduction to data-driven business intelligence challenges and tools like data mining and machine-learning techniques.

Topics
  • Machine learning
  • Applications to business
  • Data mining
  • Regression
Benefits
  • Effectively apply data-driven intelligence to improve your decisions and systematically estimate the expected impact on relevant performance objectives.
  • Understand the landscape of data-driven intelligence tools, the basics of data mining techniques, and their applications in practice
  • Develop a data-analytical approach to problem-solving so as to be able to identify opportunities to derive value from data-driven intelligence
  • Acquire some hands-on experience so as to follow up on ideas or opportunities that present themselves
Faculty

Maytal Saar-Tsechansky, Ph.D., Associate Professor, Department of Information, Risk, and Operations Management

Course Details

Price: $2,560.00