Data-Driven Decision Making: Analytics Essentials
Transform raw data into actionable business insights and strategic advantages with Babson College's comprehensive program on data-driven decision making.
Transform raw data into actionable business insights and strategic advantages with Babson College's comprehensive program on data-driven decision making.
Master the fundamentals of data science and statistical thinking to make better business decisions. This course from Babson College focuses on key concepts like understanding variation, assessing risk, and identifying sources of variation. Learn to apply statistical methods in predictive applications and gain insights into customer engagement through analytics. Ideal for business professionals and students preparing for graduate study in business.
4.3
(23 ratings)
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What you'll learn
Understand the role of variability in real-world decision making
Identify and analyze different data types and assess data quality
Apply appropriate data visualization techniques for various scenarios
Use data analysis to inform managerial decisions, particularly in start-up contexts
Avoid common fallacies and misconceptions in quantitative problem-solving
Apply statistical methods in predictive analytics applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive introduction to analytics for decision making, focusing on the fundamental concepts of statistical thinking and their application in business contexts. Students will learn to understand variability in the real world and its implications for decision making, analyze different data types and quality, and apply data analysis to managerial decisions, especially in start-up environments. The course emphasizes practical, accessible examples to illustrate key concepts, bridging the gap between traditional statistical methods and modern analytics applications. It covers topics such as avoiding common fallacies in quantitative problems, applying statistical methods in predictive applications, and using analytics to better understand customer engagement.
Fee Structure
Instructors
13 Courses
Statistics Expert Bridging Academia and Real-World Applications at Babson College
Professor Rick Cleary is a distinguished statistician and mathematician at Babson College, where he serves as Professor and Chair of the Division of Mathematics and Science. With a diverse background spanning academia and practical applications, Cleary's expertise covers statistics, biomechanics, market research, and sports analytics. Prior to joining Babson in 2013, he held teaching positions at prestigious institutions including St. Michael's College, Cornell University, Bentley University, and Harvard University. Cleary has been actively involved in the Mathematical Association of America, serving on its Executive Committee as Associate Treasurer and contributing to various committees. His research interests encompass a wide range of fields, including sports statistics, biomechanics, and statistical approaches to fraud detection and audit risk. At Babson, Cleary teaches courses on business analytics and statistics, and is involved in several educational programs including "Analytics for Decision Making," "Business Principles and Entrepreneurial Thought," "AI and Data Analytics for Business Leaders," and "Financial Decision-Making for Leaders." Known for his ability to make statistics accessible and engaging, Cleary frequently gives talks and workshops to improve statistics education at all levels.
13 Courses
Applied Mathematics Expert Bridging Theory and Practice at Babson College
Dr. Nathan Karst is an Assistant Professor of Applied Mathematics at Babson College, bringing a unique blend of engineering and mathematical expertise to his role. With a B.S. in electrical and computer engineering from Franklin W. Olin College of Engineering (2007) and a doctorate in applied mathematics from Cornell University, Dr. Karst exemplifies interdisciplinary excellence in STEM fields. His academic prowess is evidenced by his receipt of the Dean's Award for Excellence in Undergraduate Teaching in 2014 and the Dean's Award for Excellence in Scholarship in 2015. Dr. Karst's recent research focuses on the application of nonlinear dynamics to microvascular networks and event-scale streamflow recession variability, demonstrating his ability to apply complex mathematical concepts to real-world phenomena. At Babson, he contributes to several key programs, including "Analytics for Decision Making," "Business Principles and Entrepreneurial Thought," "AI and Data Analytics for Business Leaders," and "Financial Decision-Making for Leaders." Through his teaching and research, Dr. Karst plays a crucial role in bridging the gap between advanced mathematical theory and practical business applications, preparing students to leverage quantitative skills in entrepreneurial and business contexts.
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4.3 course rating
23 ratings
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