Meta

Meta Marketing Analytics Professional Certificate

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

123,581 already enrolled

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Earn a career credential that demonstrates your expertise

from 4,365 reviews of courses in this program

Beginner level

Recommended experience

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

from 4,365 reviews of courses in this program

Beginner level

Recommended experience

Flexible schedule
7 months at 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

Shareable certificate

Add to your LinkedIn profile

Taught in English

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Professional Certificate - 8 course series

Marketing Analytics Foundation

Marketing Analytics Foundation

Course 1, 11 hours

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: Advertising
Category: Data Collection
Category: Application Programming Interface (API)
Category: Google Analytics
Category: Online Advertising
Category: Marketing Analytics
Category: Facebook
Category: Data Integration
Category: Information Privacy
Category: Meta Ads Manager
Category: Data Analysis
Category: Digital Marketing
Category: Web Analytics
Category: Analytics
Category: Data Capture
Category: Data-Driven Marketing
Category: Marketing
Category: Digital Marketing Tools
Category: Law, Regulation, and Compliance
Introduction to Data Analytics

Introduction to Data Analytics

Course 2, 17 hours

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 Cleansing
Category: Exploratory Data Analysis
Category: Key Performance Indicators (KPIs)
Category: Data Storytelling
Category: Data Analysis
Category: Data Collection
Category: Data Visualization
Category: Business Metrics
Category: Marketing
Category: Analytics
Category: Generative AI
Category: Data Manipulation
Category: Data Management
Category: Performance Metric
Category: Data Modeling
Category: Data Quality
Data Analysis with Spreadsheets and SQL

Data Analysis with Spreadsheets and SQL

Course 3, 26 hours

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: Tableau Software
Category: Data Visualization Software
Category: Data Manipulation
Category: Dashboard Creation
Category: SQL
Category: Spreadsheet Software
Category: Data Storytelling
Category: Correlation Analysis
Category: Data Cleansing
Category: Data Visualization
Category: Marketing Analytics
Category: Statistical Analysis
Category: Data Wrangling
Category: Descriptive Statistics
Category: Dashboard
Category: Data Analysis
Category: Analysis
Category: Query Languages
Category: Exploratory Data Analysis
Python Data Analytics

Python Data Analytics

Course 4, 22 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: Python Programming
Category: Data Cleansing
Category: Data Visualization Software
Category: Programming Principles
Category: Exploratory Data Analysis
Category: Matplotlib
Category: Analytics
Category: Data Processing
Category: Data Visualization
Category: Data Analysis
Category: Data Wrangling
Category: Jupyter
Statistics Foundations

Statistics Foundations

Course 5, 21 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: Sampling (Statistics)
Category: Spreadsheet Software
Category: Statistical Modeling
Category: Regression Analysis
Category: Descriptive Statistics
Category: Time Series Analysis and Forecasting
Category: Analytics
Category: Statistical Hypothesis Testing
Category: Statistical Methods
Category: Statistical Analysis
Category: Probability & Statistics
Category: Bayesian Statistics
Category: Tableau Software
Category: Statistical Software
Category: Statistical Inference
Category: Data Analysis
Category: Data Modeling
Category: Descriptive Analytics
Category: Marketing Analytics
Category: Statistics
Data Analytics Methods for Marketing

Data Analytics Methods for Marketing

Course 6, 12 hours

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: Descriptive Analytics
Category: Marketing Strategies
Category: Conversion Funnel Analysis
Category: Customer Insights
Category: Customer Analysis
Category: Marketing Analytics
Category: Persona Development
Category: A/B Testing
Category: Data-Driven Marketing
Category: Marketing Effectiveness
Category: Marketing Channel
Category: Marketing Strategy and Techniques
Category: Marketing Planning
Category: Marketing
Category: Online Advertising
Category: Advertising Campaigns
Category: Target Audience
Category: Data Analysis
Category: Model Evaluation
Marketing Analytics with Meta

Marketing Analytics with Meta

Course 7, 14 hours

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: Meta Ads Manager
Category: Advertising Campaigns
Category: A/B Testing
Category: Marketing Analytics
Category: Conversion Funnel Analysis
Category: Advertising
Category: Presentations
Category: Campaign Management
Category: Facebook
Category: Social Media Campaigns
Category: Data Analysis
Category: Online Advertising
Category: Data Presentation
Category: Social Media Marketing
Category: Data-Driven Marketing
Category: Marketing Strategies
Category: Marketing Effectiveness
Category: Paid media
Category: Data-Driven Decision-Making
Category: Content Performance Analysis
Meta Marketing Science Certification Exam

Meta Marketing Science Certification Exam

Course 8, 1 hour

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Category: Interviewing Skills
Category: Data Analysis
Category: Registration
Category: Marketing
Category: Social Media Marketing
Category: Statistics
Category: Marketing Analytics
Category: Digital Marketing
Category: Meta Ads Manager

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

ACE Logo

This Professional Certificate has ACE® recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution. 

Instructors

Brandon Larkin
Meta
2 Courses41,740 learners
Brandi Robinson
2 Courses47,583 learners
Anke Audenaert
Meta
43 Courses1,069,245 learners

Offered by

Meta

Why people choose Coursera for their career

I enrolled in the Meta Marketing Analytics Professional Certificate to learn from one of the greatest companies and gain experience. Earning the Meta certification helped increase interest from recruiters and prove my knowledge in the field.

Cheikh B.

Learning from France

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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 (4/1/2025 - 4/1/2026)