Anticipate trends and catch the next wave of innovation by learning to identify, capture, and evaluate data. Building a Data-Driven Strategy for the Future challenges you to examine current and emerging data science topics and explore the ways data and analytics are disrupting old business models and uncovering new opportunities for success.
PROPEL BUSINESS FORWARD
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Course Length
Goizueta Business School -
Typical Class Size
For leaders requiring insight in business analytics -
Course Investment
Breakfast and lunch included
HOW IT WORKS
Over the course of two days, you will gain a leader’s perspective on the broad topic of business analytics and how to leverage insights from big data to your organization’s advantage. This course is ideal for modern executives who are increasingly reliant upon analytics to set and execute highly effective, forward-moving strategies. This course applies to the C-Suite Certificate with concentrations in Business Analytics and Strategy and qualifies as an elective for the C-Suite, Leadership, and Advanced Certificates
Course Takeaways
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Effective Strategy
Develop a leader’s perspective on how to use current and emerging trends in data science to build effective business strategies. -
Data-driven Innovation
Explore how data and analytics are driving new business models and disruption and how to harness that power to your organization’s advantage. -
Future Forecasting
Learn how data and analytics can be used in everyday operations to help you anticipate and take advantage of upcoming industry shifts.
GO FURTHER WITH DATA SCIENCE
Today’s top executives need insight into the world of business analytics and data science. In this course, you’ll work with data-driven insights to develop a strategic business plan and inform decisions. You’ll explore the role of data science in machine learning, predictive modeling, and artificial intelligence. And you’ll practice visualization techniques that make the data more relevant to a wider audience.
STEP UP YOUR SKILLS
FEATURED INSTRUCTOR
Marrying Statistical Models, Behavior, and Decision Making
Professor of Marketing David Schweidel is an expert in the areas of customer relationship management and social media analytics. His research focuses on the development and application of statistical models to understand customer behavior and inform managerial decisions. His research has appeared in leading business journals including Journal of Marketing, Journal of Marketing Research, Marketing Science and Management Science.