Analytics for Decision Making


Discover the foundational concepts that support modern data science and learn to analyse various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data?

Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data!

Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

These big-picture ideas have motivated the development of quantitative models, but in most traditional statistics courses, these concepts get lost behind a wall of little techniques and computations. In this course, we keep the focus on the ideas that really matter, and we illustrate them with lively, practical, accessible examples.

We will explore questions like: How are traditional statistical methods still relevant in modern analytics applications? How can we avoid common fallacies and misconceptions when approaching quantitative problems? How do we apply statistical methods in predictive applications? How do we gain a better understanding of customer engagement through analytics?

This course, offered through the edX® platform, will be is relevant for anyone eager to have a framework for good decision-making. It will be good preparation for students with a bachelor’s degree contemplating graduate study in a business field.

Opportunities in analytics are abundant at the moment. Specific techniques or software packages may be helpful in landing first jobs, but those techniques and packages may soon be replaced by something newer and trendier. Understanding the ways in which quantitative models really work, however, is a management level skill that is unlikely to go out of style.

This course is part of the Business Principles and Entrepreneurial Thought XSeries.

Associated Programmes:
XSeries: Business Principles and Entrepreneurial Thought Prerequisites Algebra

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  • Programme duration
    4 weeks
  • Estimated effort
    4 to 6 hours per week
  • Fee
  • Institution
  • Language
Start Dates

Programme Outcomes / What you will Learn

  • Variability in the real world and implications for decision making.
  • Data types and data quality with appropriate visualisations.
  • Apply data analysis to managerial decisions, especially in start-ups.
  • Making effective decisions from no data to big data (what should we collect and then what do we do with all this data?).

Arlene Lanser

Pearson Student Advisor

Babak Zafari

Assistant Professor of Analytics and Statistics at Babson College

Davit Khachatryan

Assistant Professor of Statistics and Analytics at Babson College

George Recck

Lecturer & Director of the Math Resource Center at Babson College

Nathan Karst

Assistant Professor of Applied Mathematics at Babson College

Rick Cleary

Professor and Chair, Division of Mathematics and Science at Babson College