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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

4,751 already enrolled

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Get in-depth knowledge of a subject
4.8

(88 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

(88 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

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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: Application Programming Interface (API)
Category: Google Analytics
Category: Advertising
Category: Information Privacy
Category: Data Integration
Category: Digital Marketing
Category: Personally Identifiable Information
Category: Marketing
Category: Web Analytics
Category: Data-Driven Decision-Making
Category: Analytics
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: Time Series Analysis and Forecasting
Category: Spreadsheet Software
Category: Statistics
Category: Sampling (Statistics)
Category: Descriptive Statistics
Category: Statistical Analysis
Category: Data Analysis
Category: Data Analysis Software
Category: Bayesian Statistics
Category: Analytics
Category: Quantitative Research
Category: Descriptive Analytics
Category: Data Modeling
Category: Tableau Software
Category: Probability & Statistics
Category: Statistical Hypothesis Testing
Category: Marketing Analytics
Category: Statistical Inference
Category: Statistical Methods

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: Key Performance Indicators (KPIs)
Category: Regression Analysis
Category: Marketing Strategies
Category: A/B Testing
Category: Customer Analysis
Category: Marketing Analytics
Category: Return On Investment
Category: Advertising Campaigns
Category: Sales Pipelines
Category: Marketing Planning
Category: Marketing Effectiveness
Category: Unsupervised Learning
Category: Marketing
Category: Marketing Channel
Category: Target Audience
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: Marketing Analytics
Category: Campaign Management
Category: A/B Testing
Category: Target Audience
Category: Brand Awareness
Category: Advertising
Category: Key Performance Indicators (KPIs)
Category: Marketing
Category: Data Analysis
Category: Marketing Strategies
Category: Paid media
Category: Presentations
Category: Digital Advertising
Category: Data-Driven Decision-Making
Category: Social Media Campaigns
Category: Marketing Effectiveness
Category: Facebook

What you'll learn

Skills you'll gain

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

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Instructors

Brandi Robinson
2 Courses36,421 learners
Anke Audenaert
Meta
41 Courses882,850 learners

Offered by

Meta

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Frequently asked questions

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