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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3,779 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

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

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: Sampling (Statistics)
Category: Time Series Analysis and Forecasting
Category: Statistical Modeling
Category: Descriptive Statistics
Category: Data Modeling
Category: Data Analysis
Category: Marketing Analytics
Category: Statistical Methods
Category: Probability & Statistics
Category: Quantitative Research
Category: Bayesian Statistics
Category: Statistical Inference
Category: Tableau Software
Category: Analytics
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Spreadsheet Software
Category: Descriptive 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: Regression Analysis
Category: Key Performance Indicators (KPIs)
Category: Marketing Strategies
Category: Data Analysis
Category: Marketing Analytics
Category: A/B Testing
Category: Target Audience
Category: Customer Insights
Category: Marketing Planning
Category: Advertising
Category: Forecasting
Category: Sales Process
Category: Marketing Effectiveness

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

What you'll learn

Skills you'll gain

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

Instructors

Brandi Robinson
2 Courses33,585 learners
Anke Audenaert
Meta
40 Courses837,908 learners

Offered by

Meta

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