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 Coursera Learning Team

5,206 already enrolled

Get in-depth knowledge of a subject
4.8

(94 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

(94 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

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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: Spreadsheet Software
Category: Marketing Analytics
Category: Application Programming Interface (API)
Category: Google Analytics
Category: General Data Protection Regulation (GDPR)
Category: Data Analysis
Category: Advertising
Category: Data-Driven Decision-Making
Category: Market Data
Category: Social Media Marketing
Category: Data Management
Category: Marketing
Category: Analytics
Category: Information Privacy
Category: Digital Marketing
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: Sampling (Statistics)
Category: Descriptive Statistics
Category: Regression Analysis
Category: Time Series Analysis and Forecasting
Category: Statistics
Category: Bayesian Statistics
Category: Probability & Statistics
Category: Statistical Methods
Category: Exploratory Data Analysis
Category: Data Analysis
Category: Marketing Analytics
Category: Business Analytics
Category: Statistical Inference
Category: Quantitative Research
Category: Tableau Software
Category: Statistical Hypothesis Testing
Category: Statistical Analysis

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: Marketing Strategies
Category: Marketing Analytics
Category: Customer Analysis
Category: Return On Investment
Category: A/B Testing
Category: Forecasting
Category: Customer Relationship Management
Category: Target Audience
Category: Statistical Methods
Category: Advertising
Category: Business Metrics
Category: Sales Process
Category: Marketing
Category: Marketing Channel
Category: Marketing Effectiveness
Category: Data Analysis

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: Marketing Analytics
Category: Campaign Management
Category: A/B Testing
Category: Key Performance Indicators (KPIs)
Category: Advertising
Category: Target Audience
Category: Social Media Marketing
Category: Performance Measurement
Category: Data Analysis
Category: Presentations
Category: Performance Analysis
Category: Facebook
Category: Data-Driven Decision-Making
Category: Marketing

What you'll learn

Skills you'll gain

Category: Scheduling
Category: Marketing Analytics
Category: Social Media Marketing
Category: Marketing
Category: Data Analysis
Category: Marketing Strategies
Category: Digital Marketing
Category: Registration

Earn a career certificate

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Instructors

Brandi Robinson
2 Courses37,655 learners
Anke Audenaert
Meta
41 Courses904,263 learners

Offered by

Meta

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