GraceMar-Online-Trainings-and-Certs - Flipbook - Page 14
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Meta Marketing Analytics Professional
Certificate
Launch your career in marketing analytics. Build in-demand skills and gain
credentials to go from beginner to job-ready in 5 months or less. Set and
maintain flexible deadlines. No degree or prior experience needed to get
started.
6 months at suggested pace of 4-5 hours/week
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Build the Skills to Get Job Ready
Hands-On Projects
Earn a Career Credential
This six-course 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. Developed by marketing analytics experts
at Aptly together with Meta marketers, the industry-relevant curriculum is designed to prepare you for
jobs that include Marketing Analyst, Marketing Researcher, and more. You’ll learn basic marketing
principles, 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 tools like Python
and SQL to gather, connect, and analyze relevant data. Plus, common statistical methods used 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 Meta 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. The final course prepares you for the
Meta Marketing Science Certification exam. Upon successful completion of the program, you'll earn
both the Coursera and the Meta Marketing Science Certifications. You’ll also get exclusive access to
the Meta Career Programs Job Board—a job search platform with 200+ top employers looking to hire
skilled and certified talent.
WHAT YOU WILL LEARN
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Collect, sort, evaluate, and visualize marketing data
Summarize and analyze data using marketing analytics methods
Design experiments and test hypotheses to evaluate advertising effectiveness
Use Meta Ads Manager to test ad effectiveness and evaluate the results
Applied Learning Project
Our projects offer an opportunity to apply marketing data analysis practically, such as:
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Identifying data sources
Using Python to sort data
Using Tableau to visualize results
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Evaluating advertising effectiveness
Optimizing the sales funnel
Optimizing marketing campaigns using Meta Ads Manager
Your results could be added to a portfolio to share with a future employer or use at your own business.