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

Included with Coursera Plus

Get in-depth knowledge of a subject
4.8

(117 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

(117 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
74 practice exercises

See how employees at top companies are mastering in-demand skills

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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

Data Collection, Application Programming Interface (API), Marketing Analytics, Facebook, Google Analytics, Advertising, Analytics, Personally Identifiable Information, Data Integration, Data Analysis, Digital Marketing, Marketing, Information Privacy, Data-Driven Decision-Making, and Web 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

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

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

Regression Analysis, Key Performance Indicators (KPIs), A/B Testing, Customer Analysis, Marketing Strategies, Marketing Analytics, Return On Investment, Marketing Planning, Sales Pipelines, Advertising Campaigns, Marketing, Marketing Channel, Forecasting, Data Analysis, Marketing Effectiveness, Target Audience, and Unsupervised Learning

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

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

What you'll learn

Skills you'll gain

Marketing Analytics, Registration, Data Analysis, Marketing, Resource Utilization, Statistical Methods, Marketing Effectiveness, Social Media Marketing, Analytics, and Digital Marketing

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Instructors

Brandi Robinson
2 Courses41,003 learners
Anke Audenaert
Meta
41 Courses967,622 learners

Offered by

Meta

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