Meta
Meta Marketing Analytics Professional Certificate
88,340 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.

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Earn a career credential that demonstrates your expertise

(2,599 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

(2,599 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: Google Analytics
Category: Application Programming Interface (API)
Category: Marketing Analytics
Category: General Data Protection Regulation (GDPR)
Category: Spreadsheet Software
Category: Facebook
Category: Advertising
Category: Digital Marketing
Category: Marketing
Category: Data Analysis
Category: Analytics
Category: Information Privacy
Category: Data Management
Category: Data-Driven Decision-Making
Category: Social Media Marketing
Category: Market Data

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

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: Spreadsheet Software
Category: Data Manipulation
Category: SQL
Category: Dashboard
Category: Data Visualization
Category: Data Transformation
Category: Trend Analysis
Category: Statistical Analysis
Category: Exploratory Data Analysis
Category: Data Cleansing
Category: Descriptive Statistics
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: Data Cleansing
Category: Exploratory Data Analysis
Category: Programming Principles
Category: Data Visualization Software
Category: Python Programming
Category: Matplotlib
Category: Data Visualization
Category: Data Processing
Category: Analytics
Category: Data Modeling
Category: Jupyter
Category: Data Analysis
Category: Data Science
Category: Development Environment
Category: Data Presentation

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

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

 

Instructors

Brandon Larkin
Meta
2 Courses30,061 learners
Brandi Robinson
2 Courses38,039 learners
Anke Audenaert
Meta
41 Courses911,699 learners
Victor Geislinger
Meta
1 Course22,676 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)