Introduction to Decision Science for Marketing

Hong Kong Polytechnic University via Coursera

Coursera

6 Courses


Hong Kong Polytechnic University is a globally recognized higher education institution that offers a broad spectrum of academic and professional programs. It is dedicated to providing students with an exceptional learning experience and fostering their growth into well-rounded individuals.

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Overview

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’s market. Finally, the course provides concrete strategies to start with decision science in marketing.

University: Hong Kong Polytechnic University

Provider: Coursera

Categories: Machine Learning Courses, Marketing Courses, Predictive Analytics Courses

Syllabus


Taught by

Prof. Lalit Pankaj


Tags

india

provider Coursera

Coursera

1449 Courses


Coursera

pricing Free Online Course (Audit)
language English
duration 23 hours
sessions On-Demand
level Beginner