Meta
Meta Marketing Analytics Professional Certificate
88,542 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: Application Programming Interface (API)
Category: Advertising
Category: Marketing Analytics
Category: Google Analytics
Category: Digital Marketing
Category: Marketing
Category: Analytics
Category: Web Analytics
Category: Data-Driven Decision-Making
Category: Data Integration
Category: Data Analysis
Category: Personally Identifiable Information
Category: Information Privacy

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 Cleansing
Category: Data Visualization
Category: Data Collection
Category: Data Validation
Category: Exploratory Data Analysis
Category: Data Analysis
Category: Data Storytelling
Category: Data Manipulation
Category: Marketing
Category: Generative AI
Category: Data Modeling
Category: Data Quality
Category: Business Analysis
Category: Analytics
Category: Business Metrics
Category: Data Management
Category: Data Presentation

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 Manipulation
Category: Data Visualization Software
Category: Spreadsheet Software
Category: Tableau Software
Category: SQL
Category: Data Storytelling
Category: Dashboard
Category: Correlation Analysis
Category: Data-Driven Decision-Making
Category: Data Cleansing
Category: Data Analysis
Category: Exploratory Data Analysis
Category: Descriptive Statistics
Category: Data Visualization
Category: Pivot Tables And Charts
Category: Statistical 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: Python Programming
Category: Programming Principles
Category: Data Visualization Software
Category: Data Cleansing
Category: Exploratory Data Analysis
Category: Data Processing
Category: Data Modeling
Category: Data Analysis
Category: Jupyter
Category: Data Visualization
Category: Matplotlib
Category: Scripting

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: Spreadsheet Software
Category: Sampling (Statistics)
Category: Statistical Modeling
Category: Descriptive Statistics
Category: Time Series Analysis and Forecasting
Category: Tableau Software
Category: Marketing Analytics
Category: Quantitative Research
Category: Data Analysis
Category: Statistical Methods
Category: Probability & Statistics
Category: Descriptive Analytics
Category: Data Analysis Software
Category: Statistical Hypothesis Testing
Category: Data Modeling
Category: Bayesian Statistics
Category: Statistical Analysis
Category: Statistical Inference
Category: Analytics
Category: 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: Key Performance Indicators (KPIs)
Category: Marketing Analytics
Category: Regression Analysis
Category: Marketing Strategies
Category: A/B Testing
Category: Forecasting
Category: Advertising Campaigns
Category: Target Audience
Category: Marketing
Category: Data Analysis
Category: Marketing Channel
Category: Marketing Planning
Category: Marketing Effectiveness
Category: Customer Analysis
Category: Unsupervised Learning
Category: Return On Investment
Category: Sales Pipelines

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

 

Instructors

Brandon Larkin
Meta
2 Courses30,261 learners
Brandi Robinson
2 Courses38,192 learners
Anke Audenaert
Meta
41 Courses914,291 learners
Victor Geislinger
Meta
1 Course22,837 learners

Offered by

Meta

Why people choose Coursera for their career

Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

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)