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Emory University

Foundations of Marketing Analytics

Emory University via Coursera Specialization

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
In this specialization you will learn how to: • Find, extract, organize and describe data to support business decisions • Identify, quantify and interpret relationships between variables • Derive customer insights from your data • Develop spreadsheet models to analyze data, evaluate risk and optimize business decisions • Present and justify a course of action to management The capstone project will give you an opportunity to apply what has been covered in the specialization to solve a marketing analytics problem.

Syllabus

Course 1: Meaningful Marketing Insights
- Offered by Emory University. With marketers are poised to be the largest users of data within the organization, there is a need to make ... Enroll for free.

Course 2: Managing Uncertainty in Marketing Analytics
- Offered by Emory University. Marketers must make the best decisions based on the information presented to them. Rarely will they have all ... Enroll for free.

Course 3: Forecasting Models for Marketing Decisions
- Offered by Emory University. How will customers act in the future? What will demand for our products and services be? How much inventory ... Enroll for free.

Course 4: Survey analysis to Gain Marketing Insights
- Offered by Emory University. How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s ... Enroll for free.

Course 5: Introduction to Social Media Analytics
- Offered by Emory University. Social media not only provides marketers with a means of communicating with their customers, but also a way to ... Enroll for free.

Course 6: Marketing Analytics Capstone Project
- Offered by Emory University. This capstone project will give you an opportunity to apply what we have covered in the Foundations of ... Enroll for free.

Courses

Taught by

David Schweidel

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