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

(2,646 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

(2,646 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), Google Analytics, Facebook, Marketing Analytics, Data-Driven Decision-Making, Information Privacy, Advertising, Web Analytics, Digital Marketing, Data Analysis, Analytics, Data Integration, Personally Identifiable Information, and Marketing

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

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

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

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), Exploratory Data Analysis, Python Programming, Data Visualization Software, Data Cleansing, Matplotlib, Data Visualization, Programming Principles, Data Analysis, Data Modeling, 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

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

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses33,727 learners
Brandi Robinson
2 Courses40,797 learners
Anke Audenaert
Meta
41 Courses964,270 learners
Victor Geislinger
Meta
1 Course26,414 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)