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

5,329 already enrolled

Get in-depth knowledge of a subject
4.8

(98 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

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

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

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

What you'll learn

Skills you'll gain

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

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 Courses37,932 learners
Anke Audenaert
Meta
41 Courses909,583 learners

Offered by

Meta

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