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Anke Audenaert and Cameron Dodd
This six-course Professional Certificate program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary. Developed by marketing analytics...
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This six-course Professional Certificate program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary. Developed by marketing analytics experts at Aptly together with Facebook marketers, the industry-relevant curriculum is designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. After an introduction to basic marketing principles, you’ll learn how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You’ll learn how to use essential analytics tools like Python and SQL to help you gather, connect, and analyze relevant data. Plus, common statistical methods marketers use to segment audiences, evaluate campaign results, optimize the marketing mix, and evaluate sales funnels. Along the way, you'll learn to visualize data using Tableau and how to use Facebook Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll also get to practice your new skills through hands-on, industry-relevant projects. Upon successful completion of the program, you'll earn the Marketing Science Certification from Facebook and Coursera. You’ll also get exclusive access to the Facebook Certification Career Network—a job search platform with 130+ top employers looking to hire skilled and certified talent.
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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.

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 a study guide and other resources to help you prepare.

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.

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