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Meta Marketing Science Certification Prep Specialization

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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

10,482 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject

from 2,988 reviews of courses in this program

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

from 2,988 reviews of courses in this program

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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Specialization - 5 course series

Marketing Analytics Foundation

Marketing Analytics Foundation

Course 1, 11 hours

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: Online Advertising
Category: Google Analytics
Category: Data Collection
Category: Advertising
Category: Application Programming Interface (API)
Category: Digital Marketing
Category: Information Privacy
Category: Meta Ads Manager
Category: Analytics
Category: Data Integration
Category: Digital Marketing Tools
Category: Web Analytics
Category: Data Capture
Category: Data-Driven Marketing
Category: Data Analysis
Category: Marketing
Category: Law, Regulation, and Compliance
Statistics Foundations

Statistics Foundations

Course 2, 21 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: Regression Analysis
Category: Time Series Analysis and Forecasting
Category: Spreadsheet Software
Category: Descriptive Statistics
Category: Sampling (Statistics)
Category: Statistical Modeling
Category: Bayesian Statistics
Category: Marketing Analytics
Category: Statistical Methods
Category: Probability & Statistics
Category: Tableau Software
Category: Statistical Analysis
Category: Analytics
Category: Statistics
Category: Statistical Inference
Category: Data Modeling
Category: Descriptive Analytics
Category: Statistical Hypothesis Testing
Category: Statistical Software
Category: Data Analysis
Data Analytics Methods for Marketing

Data Analytics Methods for Marketing

Course 3, 12 hours

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: Persona Development
Category: Marketing Effectiveness
Category: A/B Testing
Category: Marketing Strategies
Category: Customer Insights
Category: Marketing Analytics
Category: Customer Analysis
Category: Data-Driven Marketing
Category: Conversion Funnel Analysis
Category: Descriptive Analytics
Category: Advertising Campaigns
Category: Online Advertising
Category: Marketing Channel
Category: Marketing Strategy and Techniques
Category: Marketing
Category: Model Evaluation
Category: Marketing Planning
Category: Data Analysis
Category: Target Audience
Marketing Analytics with Meta

Marketing Analytics with Meta

Course 4, 14 hours

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: Meta Ads Manager
Category: Marketing Analytics
Category: Advertising Campaigns
Category: A/B Testing
Category: Conversion Funnel Analysis
Category: Advertising
Category: Presentations
Category: Campaign Management
Category: Data-Driven Marketing
Category: Data Analysis
Category: Facebook
Category: Marketing Strategies
Category: Marketing Effectiveness
Category: Paid media
Category: Social Media Campaigns
Category: Data Presentation
Category: Social Media Marketing
Category: Data-Driven Decision-Making
Category: Online Advertising
Category: Content Performance Analysis

What you'll learn

Skills you'll gain

Category: Registration
Category: Digital Marketing
Category: Analytics
Category: Marketing
Category: Social Media Marketing
Category: Marketing Analytics
Category: Resource Utilization
Category: Meta Ads Manager
Category: Statistical Methods
Category: Data Analysis
Category: Marketing Effectiveness
Category: Data-Driven Marketing

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Instructors

Brandi Robinson
2 Courses48,118 learners
Anke Audenaert
Meta
43 Courses1,073,130 learners

Offered by

Meta

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