UIUC - Digital Marketing Analytics in Theory
5.0 /5- Offered byCoursera
Digital Marketing Analytics in Theory at Coursera Overview
Duration | 20 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Digital Marketing Analytics in Theory at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 2 of 7 in the Digital Marketing Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 20 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
Digital Marketing Analytics in Theory at Coursera Course details
- Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily. Digital Analytics for Marketing Professionals: Marketing Analytics in Theory is the first in a two-part series of complementary courses and focuses on the background information and frameworks analysts need to be successful in today's digital business world.
- You will be able to:
- - Identify the web analytic tool right for your specific needs
- - Understand valid and reliable ways to collect, analyze, and visualize data from the web
- - Utilize data in decision making for agencies, organizations, or clients
- This course is part of Gies College of Business? suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.
Digital Marketing Analytics in Theory at Coursera Curriculum
Course Overview and The Day The Geeks Took Over
Welcome to the Course
About Prof Kevin Hartman
Module 1 Overview
The Art and Science Mind
The Early History of Analytics
The Contemporary History of Analytics
The Rise of Modern Data Analytics
Syllabus
About the Discussion Forums
About the Rubric for Peer Assessment
Getting to Know Your Classmates
Glossary
Module 1 Overview
Module 1 Readings
Orientation Quiz
Lesson 1 Practice Quiz
Lesson 2 Practice Quiz
Lesson 3 Practice Quiz
Lesson 4 Practice Quiz
Module 1 Quiz
The Consumer Brand Relationship
Module 2 Overview
Online Video
Online Search
Display Media
Social Media
The Consumer Decision Journey
Module 2 Overview
Module 2 Readings
Lesson 1 Practice Quiz
Lesson 2 Practice Quiz
Lesson 3 Practice Quiz
Lesson 4 Practice Quiz
Lesson 5 Practice Quiz
Module 2 Quiz
The Science of Analytics (Part 1)
Module 3 Overview
Digital Data Infrastructure
Brand Measurement
Consumer Outcomes
Customer Value
Attribution
Module 3 Overview
Module 3 Readings
Lesson 1 Practice Quiz
Lesson 2 Practice Quiz
Lesson 3 Practice Quiz
Lesson 4 Practice Quiz
Lesson 5 Practice Quiz
Module 3 Quiz
The Science of Analytics (Part 2)
Module 4 Overview
Analytics and Dataviz Tools
Evaluating the Tool Landscape
Digital Marketing Maturity
The Issue of Privacy
Gies Online Programs
Module 4 Overview
Module 4 Readings
Congratulations!
Lesson 1 Practice Quiz
Lesson 2 Practice Quiz
Lesson 3 Practice Quiz
Lesson 4 Practice Quiz
Module 4 Quiz
Digital Marketing Analytics in Theory at Coursera Admission Process
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