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Course Description

In this course, you will examine how to use statistics, economics, and econometrics to structure and build marketing mix models using aggregate marketing data. Taking into consideration both controllable and uncontrollable factors as predictor variables, you will explore how to explain marketing outputs such as sales volumes. Using this data, you will determine optimal (i.e., profit-maximizing) pricing and then take a step back to analyze the reasonableness of your prices. Finally, you will discover how to account for the persistent effects of marketing within your marketing mix models, which will provide you with a full, accurate picture of how effective your marketing activities truly are.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Exploring Data Sets With R

Faculty Author

Sachin Gupta

Benefits to the Learner

  • Use and verify marketing mix models to determine the effects of different marketing activities
  • Determine optimal pricing using marketing mix models

Target Audience

  • Marketing professionals
  • Business analysts
  • Managers using data insights to make business decisions

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Jun 26, 2024 to Jul 09, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • For the best experience in this program, it is recommended to take these courses in the order in which they appear. This certificate program requires a basic understanding of statistics and Excel. If you have no experience in the statistical programming language R, please start your series with “Exploring Data Sets With R,” where basic R skills will be covered. 
  • This series includes a year of free access to Symposium! These events feature various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing data science topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Type
2 week
Dates
Sep 18, 2024 to Oct 01, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • For the best experience in this program, it is recommended to take these courses in the order in which they appear. This certificate program requires a basic understanding of statistics and Excel. If you have no experience in the statistical programming language R, please start your series with “Exploring Data Sets With R,” where basic R skills will be covered. 
  • This series includes a year of free access to Symposium! These events feature various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing data science topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
Type
2 week
Dates
Dec 11, 2024 to Dec 24, 2024
Total Number of Hours
10.0
Course Fee(s)
Contract Fee $100.00
Section Notes

IMPORTANT COURSE INFORMATION

  • For the best experience in this program, it is recommended to take these courses in the order in which they appear. This certificate program requires a basic understanding of statistics and Excel. If you have no experience in the statistical programming language R, please start your series with “Exploring Data Sets With R,” where basic R skills will be covered. 
  • This series includes a year of free access to Symposium! These events feature various live, highly participatory virtual Zoom sessions with Cornell faculty and experts to explore today’s most pressing data science topics. Throughout the year, you may participate in as many sessions as you wish. Attending a Symposium is not required to successfully complete the certificate program.
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