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

(115 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

(115 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), Google Analytics, Facebook, Marketing Analytics, Data-Driven Decision-Making, Information Privacy, Advertising, Web Analytics, Digital Marketing, Data Analysis, Analytics, Data Integration, Personally Identifiable Information, and 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

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

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), Marketing Strategies, A/B Testing, Return On Investment, Marketing Analytics, Customer Analysis, Marketing, Marketing Channel, Marketing Planning, Advertising Campaigns, Sales Pipelines, Data Analysis, Marketing Effectiveness, Forecasting, 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, Presentations, Marketing Analytics, Advertising, Key Performance Indicators (KPIs), Target Audience, Brand Awareness, Social Media Campaigns, Social Media Marketing, Digital Advertising, Marketing Effectiveness, Data-Driven Decision-Making, Marketing, Data Analysis, Data Presentation, Facebook, and Marketing Strategies

What you'll learn

Skills you'll gain

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

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Instructors

Brandi Robinson
2 Courses40,797 learners
Anke Audenaert
Meta
41 Courses964,270 learners

Offered by

Meta

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