05-04-2026, 04:30 PM
[center]![[Image: 85bed3dbac89268e46fe91c64a622101.jpg]](https://i127.fastpic.org/big/2026/0504/01/85bed3dbac89268e46fe91c64a622101.jpg)
Coursera - Meta Marketing Analytics Professional Certificate
Last updated 5/2026
By Brandon Larkin, Brandi Robinson, Anke Audenaert, Victor Geislinger et al.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 437 Lessons ( 31h 31m ) | Size: 8.61 GB[/center]
Launch Your Career in Marketing Analytics.
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
Skills you'll gain
• A/B Testing
• Bayesian Statistics
• Business Metrics
• Data Analysis
• Data Collection
• Data-Driven Marketing
• Data Storytelling
• Data Visualization Software
• Descriptive Statistics
• Interviewing Skills
• Key Performance Indicators (KPIs)
• Marketing
• Marketing Analytics
• Marketing Effectiveness
• Marketing Strategies
• Statistical Hypothesis Testing
• Target Audience
• Data Visualization
• Show all
Tools you'll learn
• Meta Ads Manager
• Pandas (Python Package)
This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.
Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more.
You'll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You'll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You'll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels.
Throughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects.
The final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera. If you opt to take and pass the Meta Marketing Science Professional Certification exam, you will also earn the Meta Marketing Science Professional Certificate.
Applied Learning Project
Throughout the program, you'll get to practice your new marketing data analysis skills through hands-on projects, including
Identifying data sources
Using spreadsheets to clean and filter data
Using Python to sort and explore data
Using Tableau to visualize results
Evaluating advertising effectiveness
Optimizing the sales funnel
Optimizing marketing campaigns using Meta Ads Manager
Your efforts will yield a portfolio that you can showcase to prospective employers or utilize for your own business.
Coursera - Meta Marketing Analytics Professional Certificate
Last updated 5/2026
By Brandon Larkin, Brandi Robinson, Anke Audenaert, Victor Geislinger et al.
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 437 Lessons ( 31h 31m ) | Size: 8.61 GB[/center]
Launch Your Career in Marketing Analytics.
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
Skills you'll gain
• A/B Testing
• Bayesian Statistics
• Business Metrics
• Data Analysis
• Data Collection
• Data-Driven Marketing
• Data Storytelling
• Data Visualization Software
• Descriptive Statistics
• Interviewing Skills
• Key Performance Indicators (KPIs)
• Marketing
• Marketing Analytics
• Marketing Effectiveness
• Marketing Strategies
• Statistical Hypothesis Testing
• Target Audience
• Data Visualization
• Show all
Tools you'll learn
• Meta Ads Manager
• Pandas (Python Package)
This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary.
Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more.
You'll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions. You'll learn how to use essential tools like spreadsheets, SQL, and Python to collect, connect, and analyze relevant data. You'll apply common statistical methods used to segment audiences, evaluate campaign results, optimize the marketing mix and evaluate sales funnels.
Throughout the program, you'll gain proficiency in visualizing data using Tableau and how to use Meta Ads Manager to create campaigns, evaluate results, and run experiments to optimize your campaigns. You'll have the opportunity to apply your new skills in hands-on, industry-specific projects.
The final course prepares you for the Meta Marketing Science Professional Certification exam. Upon successful completion of the program, you'll earn a certificate of completion from Coursera. If you opt to take and pass the Meta Marketing Science Professional Certification exam, you will also earn the Meta Marketing Science Professional Certificate.
Applied Learning Project
Throughout the program, you'll get to practice your new marketing data analysis skills through hands-on projects, including
Identifying data sources
Using spreadsheets to clean and filter data
Using Python to sort and explore data
Using Tableau to visualize results
Evaluating advertising effectiveness
Optimizing the sales funnel
Optimizing marketing campaigns using Meta Ads Manager
Your efforts will yield a portfolio that you can showcase to prospective employers or utilize for your own business.
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