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Meta Marketing Analytics Professional Certificate

4.6(9,000)·170K enrolled
Beginner 240 hours English Professional Certificate Certificate

About this course

Meta's Marketing Analytics Professional Certificate teaches the data skills marketers need to measure and optimize campaigns: descriptive statistics and probability, Python for marketing data analysis (pandas, matplotlib), A/B testing methodology and interpretation, Facebook/Instagram Ads Manager analytics, and media mix modeling fundamentals. It bridges marketing expertise with analytical rigor.

Marketing analytics is one of the fastest-growing specializations within data roles — marketers who can quantify campaign effectiveness and build attribution models are significantly more valuable than those who rely on platform-level reporting. Meta's involvement means the Ads Manager and platform analytics content is authoritative, while the Python and statistics modules provide transferable analytical skills beyond Meta's platforms.

What you'll learn

Apply descriptive statistics and probability to marketing data
Use Python (pandas, matplotlib) for marketing data analysis
Design and interpret A/B tests for campaign decisions
Analyze Meta Ads performance data in Ads Manager
Build media mix models to understand cross-channel attribution

This course includes

240h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor

MT
Meta Teaching Staff
Coursera instructor
170K+ learners5 courses4.6 instructor rating

Developed by Meta's data science and marketing analytics teams, combining platform-specific Ads expertise with transferable data skills.

Requirements

  • Basic marketing knowledge; no programming experience required — Python taught from scratch

Who this course is for

  • Digital marketers who want to add data analysis skills
  • Marketing analysts who work with Meta advertising data
  • Career changers targeting marketing analytics or data-driven marketing roles

About this provider

CO
Coursera
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Frequently asked questions

No — the Python modules start from scratch and teach it in a marketing context.
No — the statistics, A/B testing, and Python skills transfer to any marketing platform. The Meta Ads content is platform-specific but the analytical skills are universal.
Paid
Subscription-based, free to audit
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