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Meta Marketing Analytics Professional Certificate

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Meta

Meta Marketing Analytics Professional Certificate

Launch Your Career in Marketing Analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Meta in 7 months or less. No degree or prior experience required.

Brandon Larkin
Brandi Robinson
Anke Audenaert

Instructors: Brandon Larkin

86,648 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(2,568 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.8

(2,568 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months, 10 hours a week
Learn at your own pace
Build toward a degree

What you'll learn

  • Collect, sort, evaluate, and visualize marketing data

  • Summarize and analyze data using marketing analytics methods

  • 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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Add to your LinkedIn profile

Taught in English

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Professional Certificate - 8 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: Application Programming Interface (API)
Category: Google Analytics
Category: Marketing Analytics
Category: Data Analysis
Category: Analytics
Category: Web Analytics
Category: Data-Driven Decision-Making
Category: Information Privacy
Category: Marketing
Category: Advertising
Category: Data Integration
Category: Digital Marketing
Category: Personally Identifiable Information

What you'll learn

  • Apply the data analysis process OSEMN to marketing data

  • Compare and contrast various data formats and their applications across different scenarios

  • Identify data gaps and articulate the strengths and weaknesses of collected data

Skills you'll gain

Category: Data Validation
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Key Performance Indicators (KPIs)
Category: Data Presentation
Category: Data Storytelling
Category: Data Collection
Category: Data Analysis
Category: Analytics
Category: Data Manipulation
Category: Business Metrics
Category: Data Management
Category: Data Visualization
Category: Generative AI
Category: Marketing
Category: Business Analysis
Category: Data Modeling
Category: Data Quality

What you'll learn

  • Clean data with spreadsheets and use common spreadsheet formulas to calculate summary statistics

  • Write foundational SQL statements and queries to extract data in spreadsheets

  • Create charts in Google Sheets and use Tableau to visualize data and use dashboards to create data visualizations

Skills you'll gain

Category: Google Sheets
Category: Data Visualization Software
Category: Tableau Software
Category: Spreadsheet Software
Category: Data Manipulation
Category: Data Storytelling
Category: SQL
Category: Dashboard
Category: Correlation Analysis
Category: Data-Driven Decision-Making
Category: Descriptive Statistics
Category: Data Cleansing
Category: Pivot Tables And Charts
Category: Exploratory Data Analysis
Category: Data Analysis
Category: Data Visualization
Category: Statistical Analysis
Python Data Analytics

Python Data Analytics

Course 422 hours

What you'll learn

  • Sort, query, and structure data in Pandas, the Python library

  • Describe how to model and interpret data using Python

  • Create basic data visualizations with Python libraries

Skills you'll gain

Category: Pandas (Python Package)
Category: Data Manipulation
Category: Data Visualization Software
Category: Programming Principles
Category: Data Visualization
Category: Python Programming
Category: Matplotlib
Category: Data Cleansing
Category: Exploratory Data Analysis
Category: Jupyter
Category: Data Analysis
Category: Data Processing
Category: Data Modeling
Category: Scripting
Statistics Foundations

Statistics Foundations

Course 521 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: Spreadsheet Software
Category: Time Series Analysis and Forecasting
Category: Statistical Modeling
Category: Descriptive Statistics
Category: Statistics
Category: Sampling (Statistics)
Category: Data Analysis
Category: Statistical Inference
Category: Data Modeling
Category: Tableau Software
Category: Marketing Analytics
Category: Data Analysis Software
Category: Bayesian Statistics
Category: Descriptive Analytics
Category: Probability & Statistics
Category: Analytics
Category: Quantitative Research
Category: Statistical Analysis
Category: Statistical Methods
Category: Statistical Hypothesis Testing

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Category: Interviewing Skills
Category: Registration
Category: Social Media Marketing
Category: Marketing Analytics
Category: Professional Networking
Category: Statistical Analysis
Category: Data Analysis
Category: Digital 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.

Build toward a degree

When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹

 

Instructors

Brandon Larkin
Meta
2 Courses28,217 learners
Brandi Robinson
2 Courses36,640 learners
Anke Audenaert
Meta
41 Courses886,171 learners

Offered by

Meta

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Frequently asked questions

¹ Median salary and job opening data are sourced from Lightcast™ Job Postings Report. Content Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024) All other job roles (7/1/2024 - 7/1/2025)