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
4.8

(2,646 reviews)

Beginner level

Recommended experience

Flexible schedule
7 months at 10 hours a week
Learn at your own pace
Build toward a degree
Earn a career credential that demonstrates your expertise
4.8

(2,646 reviews)

Beginner level

Recommended experience

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

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
142 practice exercises

See how employees at top companies are mastering in-demand skills

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

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

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

Python Data Analytics

Course 422 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

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

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

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, Customer Analysis, Return On Investment, Marketing Analytics, A/B Testing, Unsupervised Learning, Marketing Planning, Marketing Channel, Marketing, Sales Pipelines, Advertising Campaigns, Forecasting, Marketing Effectiveness, Target Audience, and 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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Marketing Analytics, Data Analysis, Interviewing Skills, Registration, Digital Marketing, Professional Networking, Statistical Analysis, and Social Media 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 Courses33,850 learners
Brandi Robinson
2 Courses40,905 learners
Anke Audenaert
Meta
41 Courses965,920 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)