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

88,235 already enrolled

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Earn a career credential that demonstrates your expertise
4.8

(2,596 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
4.8

(2,596 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

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Add to your LinkedIn profile

Taught in English

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Professional Certificate - 8 course series

Marketing Analytics Foundation

Marketing Analytics Foundation

Course 111 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: Data Collection
Category: Spreadsheet Software
Category: Advertising
Category: General Data Protection Regulation (GDPR)
Category: Google Analytics
Category: Facebook
Category: Application Programming Interface (API)
Category: Marketing Analytics
Category: Information Privacy
Category: Analytics
Category: Data-Driven Decision-Making
Category: Social Media Marketing
Category: Market Data
Category: Digital Marketing
Category: Data Management
Category: Marketing
Category: Data Analysis
Introduction to Data Analytics

Introduction to Data Analytics

Course 217 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: Data Analysis
Category: Key Performance Indicators (KPIs)
Category: Data Collection
Category: Data Visualization
Category: Data Storytelling
Category: Data Cleansing
Category: Data Manipulation
Category: Data Modeling
Category: Data Quality
Category: Analytics
Category: Generative AI
Category: Data Management
Category: Business Metrics
Category: Data-Driven Decision-Making
Category: Business Analysis
Category: Marketing

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: Data Storytelling
Category: Spreadsheet Software
Category: SQL
Category: Dashboard
Category: Trend Analysis
Category: Descriptive Statistics
Category: Data Cleansing
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Data Visualization
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: Data Manipulation
Category: Pandas (Python Package)
Category: Data Visualization Software
Category: Python Programming
Category: Programming Principles
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Data Modeling
Category: Matplotlib
Category: Jupyter
Category: Analytics
Category: Data Visualization
Category: Data Presentation
Category: Data Processing
Category: Data Analysis
Category: Data Science
Category: Development Environment
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: Descriptive Statistics
Category: Regression Analysis
Category: Statistical Modeling
Category: Sampling (Statistics)
Category: Time Series Analysis and Forecasting
Category: Statistical Analysis
Category: Bayesian Statistics
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Statistical Methods
Category: Statistical Inference
Category: Quantitative Research
Category: Tableau Software
Category: Probability & Statistics
Category: Statistics
Category: Marketing Analytics
Category: Statistical Hypothesis Testing
Category: Business 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: Regression Analysis
Category: Marketing Analytics
Category: Marketing Strategies
Category: A/B Testing
Category: Advertising
Category: Marketing Effectiveness
Category: Customer Analysis
Category: Data Analysis
Category: Marketing
Category: Sales Process
Category: Target Audience
Category: Statistical Methods
Category: Return On Investment
Category: Marketing Channel
Category: Business Metrics
Category: Customer Relationship Management
Category: Forecasting
Marketing Analytics with Meta

Marketing Analytics with Meta

Course 713 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: Marketing Analytics
Category: Advertising Campaigns
Category: A/B Testing
Category: Campaign Management
Category: Facebook
Category: Target Audience
Category: Key Performance Indicators (KPIs)
Category: Advertising
Category: Data Analysis
Category: Performance Analysis
Category: Data-Driven Decision-Making
Category: Presentations
Category: Marketing
Category: Social Media Marketing
Category: Performance Measurement

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Category: Advertising
Category: Marketing Analytics
Category: Social Media Marketing
Category: Registration
Category: Interviewing Skills
Category: Digital Marketing
Category: Social Media
Category: Marketing
Category: Data Analysis
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.Âą

 

Instructors

Brandon Larkin
Meta
2 Courses29,953 learners
Brandi Robinson
2 Courses37,956 learners
Anke Audenaert
Meta
41 Courses910,093 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)