About this Specialization

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Learner Career Outcomes
50%
Started a new career after completing this specialization.
50%
Got a pay increase or promotion.

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 6 months to complete

Suggested 4 hours/week

English

Subtitles: English, Portuguese (Brazilian)

Skills you will gain

Basic Descriptive StatisticsMarket SegmentationMicrosoft ExcelMarketing
Learner Career Outcomes
50%
Started a new career after completing this specialization.
50%
Got a pay increase or promotion.

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 6 months to complete

Suggested 4 hours/week

English

Subtitles: English, Portuguese (Brazilian)

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 6 Courses in this Specialization

Course1

Course 1

Meaningful Marketing Insights

4.3
stars
153 ratings
37 reviews
Course2

Course 2

Managing Uncertainty in Marketing Analytics

4.3
stars
44 ratings
5 reviews
Course3

Course 3

Forecasting Models for Marketing Decisions

4.3
stars
48 ratings
5 reviews
Course4

Course 4

Survey analysis to Gain Marketing Insights

4.4
stars
44 ratings
7 reviews

Offered by

Emory University logo

Emory University

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Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • Courses are designed to be self-paced.

  • This specialization is designed for learners that are familiar with business and marketing concepts, as well as have some experience with statistics.

  • It is recommended, but not required, that learners complete courses in the order in which they are presented, as some content builds off of previous concepts.

  • Emory University and Coursera are offering a Certificate of Completion for this specialization. This does not include academic credit at Emory University. If interested in other learning opportunities with the Goizueta Business School, go to http://goizueta.emory.edu to learn about Executive Education classes and degree programs.

  • After taking this specialization, the learner will be able to apply for marketing analytics and insight roles that require data analysis; be familiar with techniques to summarize and describe data; analyze survey data by identifying key themes and customer segments; use Excel to build interactive decision support tools; and build statistical models to forecast customer behavior.

More questions? Visit the Learner Help Center.