Created by:  University of Illinois at Urbana-Champaign

  • Kevin Hartman

    Taught by:  Kevin Hartman, Head of Analytics at Google

    College of Business
Basic Info
Course 3 of 6 in the Digital Marketing Specialization.
Commitment4 weeks of study, 8-10 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.4 stars
Average User Rating 4.4See what learners said
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University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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Ratings and Reviews
Rated 4.4 out of 5 of 1,049 ratings

This course is the real thing, but what you get out of it is up to you. By the way, you all do realize that our lecturer, Kevin Harman, not only lectures for University of Illinois, but he is also the current head of Analytics - Consumer, Government and Entertainment sectors at Google? He also worked for a Draftfcb, marketing and advertising. So, he really does zero in on what is useful to know You will learn how find structures and unstructured data , such as social media and other API data and analyze it. For those who just want to learn about marketing analytics but don't want to practice, this course is pretty good. and you'll learn how to use some nice free tools, such as Wordl and Google Trends.

For me, this is a game changer course. I feel like I had just opened a door to a new world! It required additional study and work beyond what is required in the course. I might be a "disadvantaged student for this course." I've never coded and was unfamiliar all the new analytics tools that are available for free. I was strictly a MSFT-Excel- kinda- business person So I had to spend add additional study time and purchased additional resources, such as the R-Studio Recipe book . Then the fun started to happen! Who says you can't teach an old lady new tricks?!

Good class to systematically review the marketing analytics processes.

good

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