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Anke Audenaert and Cameron Dodd

This five-course program is designed for anyone looking to build their in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. The program is geared toward learners with experience with basic data analytics skills.

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This five-course program is designed for anyone looking to build their in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. The program is geared toward learners with experience with basic data analytics skills.

Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more.

You’ll learn basic marketing principles and how data informs marketing decisions. You’ll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix, and evaluate sales funnels.

Throughout the program, you'll learn how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects.

The final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera.

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What's inside

Five courses

Marketing Analytics Foundation

(0 hours)
This course introduces marketing analytics. You'll learn marketing basics, the role of data analysis in digital marketing, and how data is collected and managed.

Statistics for Marketing

(0 hours)
This course provides a foundation in statistics for marketing analytics. It covers data understanding, sampling, hypothesis testing, descriptive and inferential statistics, and basic statistical modeling. By the end, you'll be able to understand and apply statistical concepts to marketing problems.

Data Analytics Methods for Marketing

(0 hours)
This course explores common analytics methods used by marketers, such as audience segmentation, clustering, and marketing mix modeling. You'll explore how to use linear regression for marketing planning and forecasting and how to assess advertising effectiveness through experiments.

Marketing Analytics with Meta

(0 hours)
This course explores Meta Marketing Analytics Tools. You'll learn how to create ads using Meta Ads Manager, utilize Meta experiments, optimize ads through A/B testing, integrate data from campaigns, and perform an analysis to evaluate the results.

Prepare for the Meta Marketing Science Certification Exam

(0 hours)
This course prepares you for the Meta Marketing Science Certification exam. You’ll learn how to schedule and take the exam through Meta Blueprint. You’ll also get access to the study guide and other resources to help you prepare.

Learning objectives

  • Collect, sort, evaluate, and visualize marketing data
  • Design experiments and test hypotheses to evaluate advertising effectiveness
  • Use meta ads manager to run tests, learn what works and optimize ad performance

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