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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 +1 more

5,693 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.8

(104 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

(104 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

Skills you'll gain

  • Category: Sampling (Statistics)
  • Category: Marketing Analytics
  • Category: Descriptive Statistics
  • Category: A/B Testing
  • Category: Bayesian Statistics
  • Category: Campaign Management
  • Category: Web Analytics
  • Category: Data Collection
  • Category: Marketing
  • Category: Statistical Hypothesis Testing
  • Category: Advertising Campaigns
  • Category: Statistics

Details to know

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Add to your LinkedIn profile

Taught in English

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Meta

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

Category: Statistical Modeling
Category: Statistics
Category: Descriptive Statistics
Category: Sampling (Statistics)
Category: Spreadsheet Software
Category: Time Series Analysis and Forecasting
Category: Probability & Statistics
Category: Data Modeling
Category: Data Analysis Software
Category: Marketing Analytics
Category: Bayesian Statistics
Category: Tableau Software
Category: Statistical Hypothesis Testing
Category: Analytics
Category: Statistical Inference
Category: Quantitative Research
Category: Data Analysis
Category: Statistical Methods
Category: Statistical Analysis
Category: Descriptive 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: Key Performance Indicators (KPIs)
Category: Regression Analysis
Category: Marketing Analytics
Category: A/B Testing
Category: Customer Analysis
Category: Marketing Strategies
Category: Return On Investment
Category: Marketing Channel
Category: Forecasting
Category: Target Audience
Category: Marketing Effectiveness
Category: Marketing
Category: Advertising Campaigns
Category: Marketing Planning
Category: Data Analysis
Category: Unsupervised Learning
Category: Sales Pipelines

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: Key Performance Indicators (KPIs)
Category: Advertising
Category: Presentations
Category: Social Media Campaigns
Category: Marketing Strategies
Category: Data Analysis
Category: Marketing Effectiveness
Category: Facebook
Category: Paid media
Category: Social Media Marketing
Category: Digital Advertising
Category: Marketing
Category: Data-Driven Decision-Making

What you'll learn

Skills you'll gain

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

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
Brandi Robinson
2 Courses38,804 learners
Anke Audenaert
Anke Audenaert
Meta
41 Courses925,885 learners

Offered by

Meta

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