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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

94,479 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(2,678 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

(2,678 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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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: Google Analytics
Category: Information Privacy
Category: Data Collection
Category: Marketing Analytics
Category: Application Programming Interface (API)
Category: Marketing
Category: Advertising
Category: Personally Identifiable Information
Category: Market Data
Category: Data Integration
Category: Digital Marketing
Category: Web Analytics
Category: Data-Driven Decision-Making
Category: API Gateway
Category: Data Analysis
Category: Customer 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 Storytelling
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Key Performance Indicators (KPIs)
Category: Data Modeling
Category: Data Validation
Category: Data Collection
Category: Data Analysis
Category: Data Management
Category: Marketing
Category: Data Visualization
Category: Business Metrics
Category: Data Manipulation
Category: Generative AI
Category: Analytics
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: Spreadsheet Software
Category: Tableau Software
Category: Data Manipulation
Category: Data Visualization Software
Category: Correlation Analysis
Category: SQL
Category: Data Storytelling
Category: Dashboard
Category: Pivot Tables And Charts
Category: Data Cleansing
Category: Data Visualization
Category: Data Analysis
Category: Statistics
Category: Exploratory Data Analysis
Category: Descriptive Statistics
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: Exploratory Data Analysis
Category: Matplotlib
Category: Data Visualization Software
Category: Data Visualization
Category: Python Programming
Category: Data Cleansing
Category: Programming Principles
Category: Scatter Plots
Category: Jupyter
Category: Data Analysis
Category: Data Modeling
Category: Histogram
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: Statistics
Category: Spreadsheet Software
Category: Regression Analysis
Category: Time Series Analysis and Forecasting
Category: Descriptive Statistics
Category: Sampling (Statistics)
Category: Statistical Modeling
Category: Marketing Analytics
Category: Statistical Methods
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Bayesian Statistics
Category: Tableau Software
Category: Probability & Statistics
Category: Analytics
Category: Data Analysis
Category: Statistical Inference
Category: Data Modeling

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: A/B Testing
Category: Marketing Analytics
Category: Marketing Effectiveness
Category: Return On Investment
Category: Marketing Budgets
Category: Marketing Channel
Category: Marketing
Category: Forecasting
Category: Data Analysis
Category: Sales Process
Category: Customer Insights
Category: Target Audience

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: Campaign Management
Category: Presentations
Category: Marketing Analytics
Category: Brand Awareness
Category: Key Performance Indicators (KPIs)
Category: Marketing Effectiveness
Category: Facebook
Category: Social Media Marketing
Category: Digital Advertising
Category: Data-Driven Decision-Making
Category: Data Presentation
Category: Marketing Strategies
Category: Advertising
Category: Social Media Campaigns
Category: Marketing
Category: Data Analysis

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses37,358 learners
Brandi Robinson
2 Courses43,837 learners
Anke Audenaert
Meta
41 Courses1,005,571 learners

Offered by

Meta

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