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

80,067 already enrolled

Included with Coursera Plus

Earn a career credential that demonstrates your expertise
4.7

(2,459 reviews)

Beginner level

Recommended experience

7 months
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.7

(2,459 reviews)

Beginner level

Recommended experience

7 months
at 10 hours a week
Flexible schedule
Learn at your own pace

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

Shareable certificate

Add to your LinkedIn profile

Taught in English

Prepare for a career as a Machine Learning Engineer

  • Receive professional-level training from Meta
  • Demonstrate your technical proficiency
  • Earn an employer-recognized certificate from Meta
  • Prepare for an industry certification exam
$169,700
median entry-level salary for Machine Learning Engineer¹
6,963
job openings for Machine Learning Engineer in United States¹

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: Spreadsheet
Category: Data Analysis
Category: SQL
Category: Tableau Software
Category: Data Visualization

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 Analysis
Category: Social Media Marketing
Category: Meta advertising
Category: A/B Testing
Category: Ads Manager

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: Marketing Science
Category: Data Analysis
Category: Social Media Marketing
Category: Ads Manager
Category: Facebook Advertising
Python Data Analytics

Python Data Analytics

Course 421 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 Analysis
Category: Python Programming
Category: Pandas
Category: Data Visualization
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: Marketing Plan
Category: Data Analysis
Category: Linear Regression
Category: Marketing
Category: Marketing Mix 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: Data Analysis
Category: Linear Regression
Category: Statistical Analysis
Category: Statistical Hypothesis Testing

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: Data Analysis
Category: Marketing
Category: Data Management
Category: Data Visualization

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Category: Data Analysis
Category: Marketing
Category: Digital Marketing
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.

Instructors

Brandon Larkin
Meta
2 Courses21,899 learners
Brandi Robinson
2 Courses31,010 learners
Anke Audenaert
Meta
40 Courses808,938 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 (3/1/2024 - 3/1/2025)