Welcome to the Introduction to Decision Science for Marketing course! This course will introduce the principles and methods of data analytics as they apply to marketing. You will learn how and why to use data and analytics to inform marketing decisions and strategies. This beginner-level course provides awareness about the present practice of data-driven decision-making in the marketing discipline. This will help you familiarize yourself with practical tips about when and where to use various techniques and tools. You will learn about critical theories and concepts with the help of relevant examples. To succeed in this course, you should have basic clarity of concepts of the marketing discipline. As a prerequisite for the course, you should know key marketing terms, such as segmentation, targeting, and positioning. After the successful completion of this course, you will have basic understanding of how to use data for making marketing predictions. You will have sufficient knowledge of foundational elements, the relationship between data and marketing constructs/concepts, and how decision science and marketing work in tandem to produce relevant insights for today鈥檚 market. Finally, the course provides concrete strategies to start with decision science in marketing.
Course Wrap-Up Video
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Skills You'll Learn
Decision Theory, Decision-Making, Marketing Analytics, Data analytics techniques
From the lesson
Weekly Summative Assessment: How to Use Predictive Analytics in Marketing, Useful Tools, and What It Needs to Be a Successful Predictive Marketer
This assessment is a graded quiz based on the modules covered this week.
Taught By
Prof. Lalit Pankaj