About this Specialization

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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.
Learner Career Outcomes
50%
Started a new career after completing this specialization.
50%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 7 months to complete
Suggested 2 hours/week
English
Subtitles: English, Portuguese (Brazilian)
Learner Career Outcomes
50%
Started a new career after completing this specialization.
50%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Approx. 7 months to complete
Suggested 2 hours/week
English
Subtitles: English, Portuguese (Brazilian)

There are 6 Courses in this Specialization

Course1

Course 1

Meaningful Marketing Insights

4.2
stars
196 ratings
51 reviews
Course2

Course 2

Managing Uncertainty in Marketing Analytics

4.3
stars
56 ratings
8 reviews
Course3

Course 3

Forecasting Models for Marketing Decisions

4.3
stars
60 ratings
6 reviews
Course4

Course 4

Survey analysis to Gain Marketing Insights

4.5
stars
70 ratings
8 reviews

Offered by

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Emory University

Frequently Asked Questions

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  • 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.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • 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.