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Coursera

AI Marketing Analytics

via Coursera Learning path or series

Overview

Advance your marketing analytics skills by learning to transform raw campaign data into reliable insights, executive-ready dashboards, and data-backed optimization strategies. In this advanced certificate, you'll build the technical and analytical capabilities needed to work with complex marketing datasets across channels, platforms, and customer journeys.

You'll learn how to clean and validate marketing data, write SQL queries to extract campaign-level metrics, and design KPI frameworks that align with business goals. You'll build dashboards in Looker Studio, analyze paid media, SEO, CRM, cohort, segment, and attribution data, and apply A/B testing and forecasting methods to improve marketing decisions.

Throughout the program, you'll work with tools commonly used by marketing analysts: SQL, Excel, Looker Studio, GA4, CRM exports, Google Ads, Meta Ads, Search Console, attribution models, and GenAI-supported analytics workflows. You'll complete hands-on projects simulating real marketing analytics responsibilities — from auditing messy campaign data to developing a full campaign optimization strategy.

This program is designed for marketing professionals, digital marketers, performance managers, and analysts who already understand marketing fundamentals and want to strengthen their technical analytics toolkit. By the end, you'll have portfolio-ready work demonstrating your ability to prepare data, analyze performance, communicate insights, and recommend action.

Courses in this learning path or series 5

  1. Data Preparation & Infrastructure
  2. Business Intelligence & Visualization
  3. Channel & Performance Analysis
  4. Audience & Attribution Analytics
  5. Advanced Optimization & Experimental Design

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Self-paced: start any time.
  • A clear syllabus (5 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Coursera is in Tier 4: commercial training companies and platform-made courses of our institution ranking (56/100). Made by the platform, often short guided projects.

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