Meta
Meta Marketing Science Certification Prep Specialization
Meta

Meta Marketing Science Certification Prep Specialization

Unlock your potential in marketing analytics. Build your marketing analytics skills and prepare to take the Meta Marketing Science Certification Exam

Brandi Robinson
Anke Audenaert

Instructors: Brandi Robinson

6,356 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.8

(112 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(112 reviews)

Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Specialization - 5 course series

What you'll learn

  • How data and its measurement inform a marketing action

  • Basic principles of marketing

  • How data is collected and the regulations around its collection

Skills you'll gain

Category: Data Collection
Category: Google Analytics
Category: Facebook
Category: Application Programming Interface (API)
Category: Marketing Analytics
Category: Marketing
Category: Digital Marketing
Category: Analytics
Category: Data Analysis
Category: Data Integration
Category: Web Analytics
Category: Advertising
Category: Data-Driven Decision-Making
Category: Personally Identifiable Information
Category: Information Privacy
Statistics Foundations

Statistics Foundations

Course 221 hours

What you'll learn

  • The basic principles of descriptive and inferential statistics

  • Use statistical analyses to make data-driven decisions

  • How to formulate and test hypotheses and take action based on the outcome

Skills you'll gain

Category: Spreadsheet Software
Category: Statistical Modeling
Category: Regression Analysis
Category: Time Series Analysis and Forecasting
Category: Statistics
Category: Sampling (Statistics)
Category: Descriptive Statistics
Category: Statistical Methods
Category: Tableau Software
Category: Data Modeling
Category: Statistical Inference
Category: Probability & Statistics
Category: Data Analysis
Category: Statistical Analysis
Category: Bayesian Statistics
Category: Marketing Analytics
Category: Analytics
Category: Statistical Hypothesis Testing

What you'll learn

  • How to plan and forecast your marketing efforts across different channels

  • How to use marketing mix modeling and attribution to optimize your efforts

  • How to evaluate and optimize your sales funnel

Skills you'll gain

Category: Key Performance Indicators (KPIs)
Category: Regression Analysis
Category: Return On Investment
Category: Customer Analysis
Category: Marketing Strategies
Category: A/B Testing
Category: Marketing Analytics
Category: Sales Pipelines
Category: Marketing Channel
Category: Data Analysis
Category: Target Audience
Category: Marketing Effectiveness
Category: Unsupervised Learning
Category: Marketing Planning
Category: Marketing
Category: Forecasting
Category: Advertising Campaigns

What you'll learn

  • How to optimize your marketing campaign by evaluating campaign results

  • How to measure advertising effectiveness with Meta’s testing tools

  • How to implement a full advertising analysis from the hypothesis formulation to presenting results and recommendations

Skills you'll gain

Category: Advertising Campaigns
Category: A/B Testing
Category: Campaign Management
Category: Marketing Analytics
Category: Brand Awareness
Category: Presentations
Category: Target Audience
Category: Key Performance Indicators (KPIs)
Category: Advertising
Category: Marketing
Category: Social Media Campaigns
Category: Marketing Strategies
Category: Marketing Effectiveness
Category: Facebook
Category: Social Media Marketing
Category: Data Presentation
Category: Data-Driven Decision-Making
Category: Data Analysis
Category: Digital Advertising

What you'll learn

Skills you'll gain

Category: Marketing Effectiveness
Category: Digital Marketing
Category: Statistical Methods
Category: Resource Utilization
Category: Analytics
Category: Social Media Marketing
Category: Data Analysis
Category: Marketing Analytics
Category: Registration
Category: Marketing

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Brandi Robinson
2 Courses40,304 learners
Anke Audenaert
Meta
41 Courses953,885 learners

Offered by

Meta

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (10/1/2024 - 10/1/2025)