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 New York State Department of Labor

3,760 already enrolled

Get in-depth knowledge of a subject
4.8

(77 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

(77 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

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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 (2,150 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: Advertising
Category: Facebook
Category: Google Analytics
Category: Application Programming Interface (API)
Category: Information Privacy
Category: Marketing Strategies
Category: Web Analytics
Category: Data-Driven Decision-Making
Category: Digital Marketing
Category: Regulation and Legal Compliance
Category: Marketing
Category: Data Collection
Category: Personally Identifiable Information

Statistics Foundations

Course 221 hours4.7 (321 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: Statistical Modeling
Category: Time Series Analysis and Forecasting
Category: Descriptive Statistics
Category: Sampling (Statistics)
Category: Quantitative Research
Category: Data Analysis
Category: Descriptive Analytics
Category: Statistical Hypothesis Testing
Category: Data Modeling
Category: Statistical Inference
Category: Probability & Statistics
Category: Statistical Methods
Category: Spreadsheet Software
Category: Tableau Software
Category: Marketing Analytics
Category: Bayesian Statistics
Category: Statistical Analysis
Category: Analytics

Data Analytics Methods for Marketing

Course 312 hours4.7 (264 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 Analytics
Category: A/B Testing
Category: Marketing Strategies
Category: Data Analysis
Category: Sales Process
Category: Customer Insights
Category: Marketing Effectiveness
Category: Forecasting
Category: Advertising
Category: Target Audience
Category: Marketing Planning

Marketing Analytics with Meta

Course 413 hours4.8 (223 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: Advertising
Category: Brand Awareness
Category: Campaign Management
Category: Target Audience
Category: Key Performance Indicators (KPIs)
Category: Presentations
Category: Facebook
Category: Marketing Effectiveness
Category: Data-Driven Decision-Making
Category: Data Analysis
Category: Data Presentation
Category: Marketing
Category: Marketing Strategies
Category: Performance Metric

What you'll learn

Skills you'll gain

Category: Statistical Methods
Category: Digital Marketing
Category: Marketing Analytics
Category: Data Analysis
Category: Marketing
Category: Resource Utilization
Category: Analytics

Instructors

Brandi Robinson
2 Courses33,536 learners
Anke Audenaert
Meta
40 Courses837,246 learners

Offered by

Meta

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