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

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2,628 already enrolled

Get in-depth knowledge of a subject
4.8

(66 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

(66 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

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Taught in English

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
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Specialization - 5 course series

Marketing Analytics Foundation

Course 111 hours4.8 (2,100 ratings)

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

Statistics Foundations

Course 221 hours4.7 (305 ratings)

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

Data Analytics Methods for Marketing

Course 312 hours4.7 (258 ratings)

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: Marketing Strategies
Category: Marketing Analytics
Category: Data Analysis
Category: A/B Testing
Category: Sales Process
Category: Marketing Planning
Category: Target Audience
Category: Advertising
Category: Marketing Effectiveness
Category: Forecasting
Category: Customer Insights

Marketing Analytics with Meta

Course 413 hours4.8 (218 ratings)

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: Marketing Analytics
Category: Target Audience
Category: Presentations
Category: Advertising
Category: Brand Awareness
Category: Campaign Management
Category: Key Performance Indicators (KPIs)
Category: Facebook
Category: Marketing Effectiveness
Category: Marketing
Category: Performance Metric
Category: Marketing Strategies
Category: Data-Driven Decision-Making
Category: Data Analysis
Category: Data Presentation

What you'll learn

Skills you'll gain

Category: Marketing
Category: Verification And Validation
Category: Statistical Methods
Category: Marketing Analytics
Category: Data Analysis
Category: Digital Marketing
Category: Analytics
Category: Marketing Effectiveness
Category: Resource Utilization

Instructors

Brandi Robinson
2 Courses31,379 learners
Anke Audenaert
Meta
40 Courses814,860 learners

Offered by

Meta

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