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

(2,651 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

(2,651 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, Google Analytics, Facebook, Marketing Analytics, Application Programming Interface (API), Web Analytics, Marketing, Digital Marketing, Information Privacy, Data-Driven Decision-Making, Analytics, Data Integration, Advertising, Data Analysis, 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, Key Performance Indicators (KPIs), Exploratory Data Analysis, Data Analysis, Data Cleansing, Data Storytelling, Analytical Skills, Generative AI, Business Metrics, Data Literacy, Analytics, Data Visualization, Data Modeling, Data Manipulation, Data Management, Business Analysis, Marketing, and Data Quality

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

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, Data Visualization Software, Programming Principles, Matplotlib, Python Programming, Data Cleansing, Data Visualization, Exploratory Data Analysis, Jupyter, Scripting, Data Modeling, Data Analysis, and Scripting Languages

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

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Interviewing Skills, Statistical Analysis, Professional Networking, Marketing Analytics, Registration, Data Analysis, Digital Marketing, 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 Courses34,020 learners
Brandi Robinson
2 Courses41,038 learners
Anke Audenaert
Meta
41 Courses968,300 learners
Victor Geislinger
Meta
1 Course26,582 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 (11/1/2024 - 11/1/2025)