Meta
Meta Marketing Analytics Professional Certificate
88,511 enrolled
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.

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(2,601 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months at 10 hours a week
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(2,601 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months at 10 hours a week
Earn a career credential
Share your expertise with employers

Overview

  • 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

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
142 practice exercises

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: General Data Protection Regulation (GDPR)
Category: Application Programming Interface (API)
Category: Marketing Analytics
Category: Advertising
Category: Google Analytics
Category: Spreadsheet Software
Category: Market Data
Category: Marketing
Category: Information Privacy
Category: Digital Marketing
Category: Social Media Marketing
Category: Data-Driven Decision-Making
Category: Analytics
Category: Data Analysis
Category: Data Management

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

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: Data Manipulation
Category: Spreadsheet Software
Category: Dashboard
Category: Data Storytelling
Category: SQL
Category: Data Cleansing
Category: Trend Analysis
Category: Exploratory Data Analysis
Category: Descriptive Statistics
Category: Data Visualization
Category: Data Analysis

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: Programming Principles
Category: Data Visualization Software
Category: Exploratory Data Analysis
Category: Python Programming
Category: Data Cleansing
Category: Analytics
Category: Data Modeling
Category: Data Science
Category: Data Presentation
Category: Development Environment
Category: Data Visualization
Category: Jupyter
Category: Data Processing
Category: Data Analysis
Category: Matplotlib

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: Regression Analysis
Category: Statistical Modeling
Category: Descriptive Statistics
Category: Time Series Analysis and Forecasting
Category: Data Analysis
Category: Bayesian Statistics
Category: Statistics
Category: Probability & Statistics
Category: Statistical Inference
Category: Tableau Software
Category: Business Analytics
Category: Exploratory Data Analysis
Category: Marketing Analytics
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Statistical Methods
Category: Quantitative Research

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 Analytics
Category: Marketing Strategies
Category: A/B Testing
Category: Marketing Effectiveness
Category: Business Metrics
Category: Marketing Channel
Category: Target Audience
Category: Customer Relationship Management
Category: Statistical Methods
Category: Forecasting
Category: Advertising
Category: Customer Analysis
Category: Marketing
Category: Return On Investment
Category: Data Analysis
Category: Sales Process

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: A/B Testing
Category: Marketing Analytics
Category: Advertising Campaigns
Category: Campaign Management
Category: Key Performance Indicators (KPIs)
Category: Advertising
Category: Facebook
Category: Target Audience
Category: Marketing
Category: Data Analysis
Category: Performance Measurement
Category: Social Media Marketing
Category: Performance Analysis
Category: Presentations
Category: Data-Driven Decision-Making

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses30,222 learners
Brandi Robinson
2 Courses38,166 learners
Anke Audenaert
Meta
41 Courses913,834 learners
Victor Geislinger
Meta
1 Course22,805 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 (8/1/2024 - 8/1/2025)