technifyed

University of Colorado Boulder via Coursera

Search and Display Advertising

4.599 ratings at Coursera

Overview

Plan, build, and evaluate search, display, and video advertising campaigns around clear business objectives. You will examine how search intent, keywords, bidding, targeting, creative formats, placements, and campaign metrics work together, then use spreadsheet data and structured audits to diagnose performance and recommend improvements. The course covers the history and process of search advertising, keyword research, display and video formats, tradeoffs across channels, and evidence-based optimization. Platform tools and policies are treated as evolving examples, while the underlying planning and measurement skills remain durable. Official Google Skillshop study materials and certification are available as optional enrichment; course completion does not require or guarantee an external certification. By the end, you will be able to connect audience intent to campaign structure, assess strengths and limitations of formats, interpret campaign evidence, and explain defensible budget, targeting, creative, and measurement decisions.

Syllabus 5

  1. Readings: Search 50 minutes

    This series of lectures provides an overview of search advertising, its history, and its role in the digital marketing landscape. The lectures discuss the evolution of search engines and the emergence of Google as the dominant player in the market. They also explain the process of search advertisin…

  2. Lecture Videos: Search Advertising 2 hours

    In this lecture series, we delve into Google's dominance in the search and advertising market, exploring the debate surrounding its monopoly status and the implications of the Department of Justice's investigation. We examine the value of search intent in advertising, the basics of Search Engine Op…

  3. Project: Search Advertising 4 hours

    In this project, students will complete a certification from Google in Search Advertising

  4. Readings: Banner and Video Advertising 50 minutes

    This series of readings provides an overview of video advertising, banner advertising, and rich media in the digital marketing landscape. The lectures discuss the differences between these formats, their advantages and disadvantages, and their impact on consumer behavior. They also explore the futu…

  5. Lecture Videos: Display and Video Advertising 2.5 hours

    This lecture series covers the evolution and various aspects of display advertising, from banner ads to video ads, and their effectiveness in achieving advertising objectives. Students will learn about the importance of ad design, quality, and attribution models, as well as the significance of sele…

Skills you'll practise

AdvertisingMarketingDigital MarketingSocial MediaSearch Engine Optimization

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.
  • Hands-on: you build or practise, not just watch.

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.

Taught by

  • Chris J. VargoAssociate Professor, College of Media, Communication and Information

University of Colorado Boulder is in Tier 3: good universities, respected companies, nonprofits and well-known teachers of our institution ranking (76/100). Large online catalogue, good quality.

Similar courses

Compare these

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week

Harvard University · edX

Data Science: R Basics

4.4273 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

Free to audit8 weeks, 2 - 3 hours per week

Enter your email and the official page opens. Phone is optional.