
Stanford University
AI Luminaries
A curated collection of videos featuring top experts in artificial intelligence.
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.
Some points apply to every course of this kind; see how we rank.
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.

Stanford University
A curated collection of videos featuring top experts in artificial intelligence.

Stanford University
-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…

Stanford University
For more information about Stanford's Artificial Intelligence programs visit: https://stanford.io/ai Delve into the exciting world of Artificial Intelligence with insights and research from the world's top experts. This playlist offers a comprehensive journey, from foundational machine learning con…

Stanford University
Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…

Massachusetts Institute of Technology
View the complete course: http://ocw.mit.edu/6-034F10 Instructor: Patrick Winston In these lectures, Prof. Patrick Winston introduces the 6.034 material from a conceptual, big-picture perspective. Topics include reasoning, search, constraints, learning, representations, architectures, and probabili…

Stanford University
Explore the cutting-edge realm of Large Language Models (LLMs) with this expertly curated YouTube playlist. Featuring insights from industry leaders, educational content, and in-depth discussions, this selection highlights the latest advancements in LLM technology.