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

(2,648 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

(2,648 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, Facebook, Application Programming Interface (API), Google Analytics, Marketing Analytics, Advertising, Digital Marketing, Data-Driven Decision-Making, Personally Identifiable Information, Web Analytics, Information Privacy, Analytics, Marketing, Data Analysis, and Data Integration

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

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

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

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

Key Performance Indicators (KPIs), Regression Analysis, Marketing Strategies, Marketing Analytics, A/B Testing, Customer Analysis, Return On Investment, Marketing Planning, Forecasting, Advertising Campaigns, Sales Pipelines, Marketing Channel, Target Audience, Marketing Effectiveness, Marketing, Data Analysis, 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, Marketing Analytics, Target Audience, Brand Awareness, Advertising, Key Performance Indicators (KPIs), Presentations, Social Media Campaigns, Digital Advertising, Facebook, Data Presentation, Marketing Strategies, Data Analysis, Marketing Effectiveness, Social Media Marketing, Data-Driven Decision-Making, and Marketing

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

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

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 Courses33,920 learners
Brandi Robinson
2 Courses40,966 learners
Anke Audenaert
Meta
41 Courses966,873 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)