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

95,905 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(2,696 reviews)

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

(2,696 reviews)

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

See how employees at top companies are mastering in-demand skills

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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: Information Privacy
Category: Data Collection
Category: Google Analytics
Category: Marketing Analytics
Category: Application Programming Interface (API)
Category: Data Analysis
Category: Web Analytics
Category: Marketing
Category: Data Integration
Category: Advertising
Category: Digital Marketing
Category: API Gateway
Category: Customer Data Management
Category: Personally Identifiable Information
Category: Market Data
Category: Data-Driven Decision-Making
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: Exploratory Data Analysis
Category: Key Performance Indicators (KPIs)
Category: Marketing
Category: Data Quality
Category: Data Validation
Category: Data Modeling
Category: Data Manipulation
Category: Data Collection
Category: Business Metrics
Category: Data Presentation
Category: Analytics
Category: Business Analysis
Category: Data Storytelling
Category: Data Cleansing
Category: Data Management
Category: Data Analysis
Category: Data Visualization
Category: Generative AI

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: Data Storytelling
Category: Dashboard
Category: SQL
Category: Correlation Analysis
Category: Spreadsheet Software
Category: Data Visualization
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Descriptive Statistics
Category: Statistics
Category: Data Analysis
Category: Pivot Tables And Charts
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: Python Programming
Category: Matplotlib
Category: Exploratory Data Analysis
Category: Data Modeling
Category: Data Analysis
Category: Data Visualization Software
Category: Data Manipulation
Category: Data Cleansing
Category: Histogram
Category: Scripting
Category: Jupyter
Category: Data Visualization
Category: Scatter Plots
Category: Programming Principles
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: Statistical Analysis
Category: Tableau Software
Category: Sampling (Statistics)
Category: Time Series Analysis and Forecasting
Category: Probability & Statistics
Category: Spreadsheet Software
Category: Statistical Methods
Category: Descriptive Statistics
Category: Data Modeling
Category: Analytics
Category: Bayesian Statistics
Category: Statistical Modeling
Category: Marketing Analytics
Category: Statistical Hypothesis Testing
Category: Regression Analysis
Category: Data Analysis
Category: Statistics
Category: Statistical Inference

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: Marketing Strategies
Category: Marketing Analytics
Category: A/B Testing
Category: Sales Process
Category: Forecasting
Category: Data Analysis
Category: Customer Insights
Category: Marketing Effectiveness
Category: Marketing Channel
Category: Target Audience
Category: Marketing Budgets
Category: Return On Investment
Category: Marketing
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: Advertising Campaigns
Category: A/B Testing
Category: Target Audience
Category: Marketing Analytics
Category: Key Performance Indicators (KPIs)
Category: Brand Awareness
Category: Presentations
Category: Campaign Management
Category: Marketing
Category: Digital Advertising
Category: Data Presentation
Category: Advertising
Category: Data Analysis
Category: Marketing Effectiveness
Category: Marketing Strategies
Category: Data-Driven Decision-Making
Category: Facebook
Category: Social Media Marketing
Category: Social Media Campaigns

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses 38,532 learners
Brandi Robinson
2 Courses 44,831 learners
Anke Audenaert
Meta
41 Courses 1,021,789 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 (2/1/2025 - 2/1/2026)