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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

86,560 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.8

(2,567 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months, 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.8

(2,567 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months, 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

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: Application Programming Interface (API)
Category: Marketing Analytics
Category: Google Analytics
Category: Advertising
Category: Digital Marketing
Category: Web Analytics
Category: Marketing
Category: Information Privacy
Category: Data Analysis
Category: Analytics
Category: Personally Identifiable Information
Category: Data Integration
Category: Data-Driven Decision-Making

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: Data Storytelling
Category: Data Collection
Category: Data Validation
Category: Data Analysis
Category: Key Performance Indicators (KPIs)
Category: Data Presentation
Category: Exploratory Data Analysis
Category: Marketing
Category: Data Quality
Category: Business Analysis
Category: Generative AI
Category: Data Modeling
Category: Analytics
Category: Business Metrics
Category: Data Manipulation
Category: Data Management
Category: Data Visualization

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

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: Key Performance Indicators (KPIs)
Category: Marketing Strategies
Category: Marketing Analytics
Category: Customer Analysis
Category: A/B Testing
Category: Return On Investment
Category: Sales Pipelines
Category: Marketing
Category: Unsupervised Learning
Category: Advertising Campaigns
Category: Target Audience
Category: Marketing Channel
Category: Marketing Effectiveness
Category: Data Analysis
Category: Marketing Planning
Category: Forecasting

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses28,073 learners
Brandi Robinson
2 Courses36,500 learners
Anke Audenaert
Meta
41 Courses884,341 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 (7/1/2024 - 7/1/2025)