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Digital Marketing Analytics in Theory

Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while ...
4.5
4.5/5
(4,473 reviews)
111,925 students
Created by

8.8

Classbaze Grade®

N/A

Freshness

8.2

Popularity

9.0

Material

Digital Marketing Analytics in Theory
Platform: Coursera
Video: 2h 57m
Language: English

Best Data Analysis classes:

Classbaze Rating

Classbaze Grade®

8.8 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.2 / 10
We analyzed factors such as the rating (4.5/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.0 / 10
Video Score: 8.0 / 10
The course includes 2h 57m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 9.2 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

16 articles.
0 resource.
0 exercise.
27 tests or quizzes.

In this page

About the course

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/.

What can you learn from this course?

✓ Gain an understanding of the motivations behind data collection and analysis methods used by marketing professionals
✓ Understand frameworks and approaches to measuring consumers’ digital actions
✓ Learn to evaluate and choose appropriate web analytics tools and techniques
✓ Earn familiarity with the unique measurement opportunities and challenges presented by New Media

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for Digital Marketing Analytics in Theory ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the Digital Marketing Analytics in Theory course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Kevin Hartman?

Kevin Hartman has created 5 courses that got 423 reviews which are generally positive. Kevin Hartman has taught 181,807 students and received a 4.56 average review out of 423 reviews. Depending on the information available, we think that Kevin Hartman is an instructor that you can trust.
Gies College of Business
University of Illinois at Urbana-Champaign
Kevin Hartman is the Head of Industry at Google. He received his BA from the University of Notre Dame and MBA and MPP at the University of Chicago. Kevin teaches Web Metrics, Data Analytics & Visualization as part of the Professional Digital Advertising Certificate for the University of Illinois. He is also an Adjunct Instructor at the University of Chicago Graham School and the board member of Friends of the Chicago River. Kevin Hartman is a devoted and artistic practitioner of data. He believes that data must do more than simply provide insights which inspire creative thought. Rather, data must express insights in ways that are just as creative as the ideas they activate. As Head of Industry at Google, Kevin and his team partner with major advertisers, creative agencies, and media companies to develop digital solutions that build businesses and brands. His approach mixes science and art to deliver inventive, fact-based strategies that reduce uncertainty and increase effectiveness in the marketing and advertising programs they create. Kevin specializes in program, project, and campaign management, account development and solution selling, customer segmentation and targeting, and customer value management. His industry experience includes food, beverage, and restaurants, consumer products, financial services, healthcare and medical associations. Kevin’s roster of client work includes brand names such as General Mills, Kellogg’s, MillerCoors, Anheuser-Busch, Motorola, the United States Postal Service, Taco Bell, Kentucky Fried Chicken, Del Monte, Boeing, Qualcomm, Wagner USA, ABN Amro, Bank of America, and the Chicago Board of Trade, among others.

8.8

Classbaze Grade®

N/A

Freshness

8.2

Popularity

9.0

Material

Platform: Coursera
Video: 2h 57m
Language: English

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