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

3,742 already enrolled

Included with Coursera Plus

Learn more
Get in-depth knowledge of a subject
4.8

(75 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(75 reviews)

Intermediate level

Recommended experience

1 month
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

Specialization - 5 course series

Marketing Analytics Foundation

Marketing Analytics Foundation

Course 111 hours

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 Analysis
Category: Marketing Strategies
Category: Key Performance Indicators (KPIs)
Category: Facebook
Category: Data-Driven Decision-Making
Category: Advertising
Category: Target Audience
Category: Presentations
Category: Performance Metric
Category: Campaign Management
Category: Data Presentation
Category: Marketing
Category: Marketing Effectiveness
Category: Marketing Analytics
Category: A/B Testing
Category: Social Media Marketing
Category: Ads Manager
Category: Advertising Campaigns
Category: Meta advertising
Category: Brand Awareness
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: Analytics
Category: Digital Marketing
Category: Marketing
Category: Marketing Effectiveness
Category: Data Analysis
Category: Marketing Science
Category: Marketing Analytics
Category: Meta Ads Manager
Category: Social Media Marketing
Category: Marketing Management
Category: Resource Utilization
Category: Meta advertising
Category: Statistical Methods

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: Data Analysis
Category: Customer Insights
Category: Marketing Strategies
Category: Marketing Mix Modeling
Category: Marketing Plan
Category: Forecasting
Category: Key Performance Indicators (KPIs)
Category: Regression Analysis
Category: Linear Regression
Category: Sales Process
Category: Advertising
Category: Target Audience
Category: Marketing
Category: Marketing Effectiveness
Category: A/B Testing
Category: Marketing Analytics
Category: Marketing Planning
Marketing Analytics with Meta

Marketing Analytics with Meta

Course 413 hours

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

What you'll learn

Skills you'll gain

Category: Digital Marketing
Category: Data Analysis
Category: Marketing Strategies
Category: Facebook
Category: Data-Driven Decision-Making
Category: Advertising
Category: Personally Identifiable Information
Category: Data Collection
Category: Information Privacy
Category: Regulation and Legal Compliance
Category: Marketing
Category: Web Analytics
Category: Marketing Analytics
Category: Google Analytics
Category: Application Programming Interface (API)

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 Courses33,496 learners
Anke Audenaert
Meta
40 Courses836,833 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."

New to Marketing? Start here.

Placeholder

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 (4/1/2024 - 4/1/2025)