Meta
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

4,912 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.8

(90 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

(90 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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Add to your LinkedIn profile

Taught in English

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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: Marketing Analytics
Category: Facebook
Category: Google Analytics
Category: Application Programming Interface (API)
Category: Data-Driven Decision-Making
Category: Web Analytics
Category: Marketing
Category: Analytics
Category: Advertising
Category: Information Privacy
Category: Personally Identifiable Information
Category: Data Analysis
Category: Data Integration
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: Statistics
Category: Descriptive Statistics
Category: Time Series Analysis and Forecasting
Category: Statistical Modeling
Category: Sampling (Statistics)
Category: Spreadsheet Software
Category: Bayesian Statistics
Category: Data Analysis Software
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Data Modeling
Category: Descriptive Analytics
Category: Quantitative Research
Category: Probability & Statistics
Category: Data Analysis
Category: Tableau Software
Category: Statistical Methods
Category: Statistical Inference
Category: Analytics
Category: Marketing 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: Regression Analysis
Category: Key Performance Indicators (KPIs)
Category: Marketing Strategies
Category: A/B Testing
Category: Marketing Analytics
Category: Return On Investment
Category: Customer Analysis
Category: Sales Pipelines
Category: Marketing Channel
Category: Marketing Effectiveness
Category: Marketing
Category: Target Audience
Category: Advertising Campaigns
Category: Unsupervised Learning
Category: Data Analysis
Category: Marketing Planning
Category: Forecasting

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: Campaign Management
Category: A/B Testing
Category: Marketing Analytics
Category: Brand Awareness
Category: Target Audience
Category: Advertising
Category: Presentations
Category: Key Performance Indicators (KPIs)
Category: Paid media
Category: Social Media Campaigns
Category: Digital Advertising
Category: Facebook
Category: Social Media Marketing
Category: Marketing Strategies
Category: Marketing
Category: Data Analysis
Category: Data-Driven Decision-Making
Category: Marketing Effectiveness

What you'll learn

Skills you'll gain

Category: Resource Utilization
Category: Social Media Marketing
Category: Marketing Effectiveness
Category: Data Analysis
Category: Statistical Methods
Category: Marketing
Category: Digital Marketing
Category: Analytics
Category: Marketing Analytics
Category: Registration

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Instructors

Brandi Robinson
2 Courses36,900 learners
Anke Audenaert
Meta
41 Courses889,597 learners

Offered by

Meta

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Frequently asked questions

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