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

Included with Coursera Plus

Earn a career credential that demonstrates your expertise

(2,645 reviews)

Beginner level

Recommended experience

7 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Earn a career credential that demonstrates your expertise

(2,645 reviews)

Beginner level

Recommended experience

7 months at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

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

Overview

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

Data Collection, Application Programming Interface (API), Facebook, Marketing Analytics, Google Analytics, Marketing, Data Integration, Web Analytics, Data-Driven Decision-Making, Analytics, Data Analysis, Digital Marketing, Advertising, Information Privacy, and Personally Identifiable Information

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

Data Collection, Data Analysis, Key Performance Indicators (KPIs), Exploratory Data Analysis, Data Storytelling, Data Cleansing, Generative AI, Data Literacy, Data Quality, Analytics, Analytical Skills, Business Analysis, Business Metrics, Data Modeling, Data Management, Data Visualization, Data Manipulation, and Marketing

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

Google Sheets, Data Visualization Software, Data Manipulation, Tableau Software, Spreadsheet Software, SQL, Dashboard, Correlation Analysis, Data Storytelling, Descriptive Statistics, Pivot Tables And Charts, Exploratory Data Analysis, Data Analysis, Data Visualization, Statistical Analysis, Marketing Analytics, and Data Cleansing

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

Data Manipulation, Pandas (Python Package), Data Cleansing, Exploratory Data Analysis, Data Visualization Software, Python Programming, Matplotlib, Programming Principles, Data Visualization, Data Modeling, Data Analysis, Scripting, Scripting Languages, and Jupyter

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

Spreadsheet Software, Time Series Analysis and Forecasting, Statistical Modeling, Sampling (Statistics), Regression Analysis, Descriptive Statistics, Statistics, Tableau Software, Statistical Hypothesis Testing, Data Analysis, Probability & Statistics, Analytics, Bayesian Statistics, Statistical Methods, Statistical Inference, Marketing Analytics, Statistical Analysis, and 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

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Registration, Data Analysis, Marketing Analytics, Interviewing Skills, Digital Marketing, Social Media Marketing, Statistical Analysis, and Professional Networking

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 Courses33,724 learners
Brandi Robinson
2 Courses40,793 learners
Anke Audenaert
Meta
41 Courses964,204 learners
Victor Geislinger
Meta
1 Course26,413 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 (10/1/2024 - 10/1/2025)