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

(114 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(114 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
74 practice exercises

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

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

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

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

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

What you'll learn

Skills you'll gain

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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

Brandi Robinson
2 Courses40,718 learners
Anke Audenaert
Meta
41 Courses962,871 learners

Offered by

Meta

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