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

(2,639 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

(2,639 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, Application Programming Interface (API), Facebook, Marketing Analytics, Web Analytics, Information Privacy, Data-Driven Decision-Making, Personally Identifiable Information, Data Analysis, Digital Marketing, Data Integration, Advertising, Marketing, and Analytics

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

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

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

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

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

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

What you'll learn

  • Complete the Meta Marketing Science Certification Exam

Skills you'll gain

Professional Networking, Interviewing Skills, Data Analysis, Marketing Analytics, Statistical Analysis, Registration, 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 Courses33,452 learners
Brandi Robinson
2 Courses40,588 learners
Anke Audenaert
Meta
41 Courses959,187 learners
Victor Geislinger
Meta
1 Course26,276 learners

Offered by

Meta

Compare with similar products

Rating
Level
Skills
Tools
Last updated
Number of practice exercises
Degree eligibility
Part of Coursera Plus

You might also like

Why people choose Coursera for their career

Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

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)