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

Access provided by Tallinn University of Technology

6,433 already enrolled

Get in-depth knowledge of a subject
4.8

(113 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

(113 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

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Meta

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: Facebook
Category: Marketing Analytics
Category: Google Analytics
Category: Application Programming Interface (API)
Category: Data Integration
Category: Information Privacy
Category: Data-Driven Decision-Making
Category: Web Analytics
Category: Analytics
Category: Marketing
Category: Personally Identifiable Information
Category: Data Analysis
Category: Digital Marketing
Category: Advertising
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: Statistical Modeling
Category: Spreadsheet Software
Category: Descriptive Statistics
Category: Statistics
Category: Sampling (Statistics)
Category: Time Series Analysis and Forecasting
Category: Regression Analysis
Category: Statistical Analysis
Category: Statistical Methods
Category: Probability & Statistics
Category: Analytics
Category: Data Analysis
Category: Statistical Hypothesis Testing
Category: Marketing Analytics
Category: Bayesian Statistics
Category: Tableau Software
Category: Data Modeling
Category: Statistical Inference

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: Regression Analysis
Category: Key Performance Indicators (KPIs)
Category: A/B Testing
Category: Customer Analysis
Category: Marketing Analytics
Category: Return On Investment
Category: Marketing Strategies
Category: Sales Pipelines
Category: Marketing Planning
Category: Forecasting
Category: Marketing Effectiveness
Category: Marketing Channel
Category: Target Audience
Category: Marketing
Category: Unsupervised Learning
Category: Data Analysis
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: Campaign Management
Category: A/B Testing
Category: Marketing Analytics
Category: Brand Awareness
Category: Key Performance Indicators (KPIs)
Category: Presentations
Category: Advertising
Category: Target Audience
Category: Facebook
Category: Social Media Campaigns
Category: Digital Advertising
Category: Marketing Effectiveness
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Marketing
Category: Data Presentation
Category: Marketing Strategies
Category: Social Media Marketing

What you'll learn

Skills you'll gain

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

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 Courses40,488 learners
Anke Audenaert
Meta
41 Courses957,286 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."