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学生对 University of Illinois Urbana-Champaign 提供的 Digital Marketing Analytics in Practice 的评价和反馈

4.5
3,348 个评分

课程概述

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 Practice is the second in a two-part series of complementary courses and focuses on the skills and practical abilities 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/....

热门审阅

JJ

Aug 7, 2020

Thoroughly enjoyable "journey" for this course. The syllabus was great, very well structured, thus easy to follow. Each module, including honors, can easily be completed in a day if you have the time.

TC

Aug 31, 2020

thoroughly enjoyed the course. A big thanks to Instructor Kevin hartman for this perfectly organized course. Materials were on point and easy to understand. Got entirely new observations on analytics.

筛选依据:

451 - Digital Marketing Analytics in Practice 的 475 个评论(共 720 个)

创建者 Suhaila M A

Dec 7, 2021

i loveet

创建者 Jishnu D

May 28, 2020

Good one

创建者 Nikhil S

Apr 3, 2025

Awesome

创建者 Shriya S

Apr 15, 2024

amazing

创建者 Juan C C A

Feb 10, 2021

Genial!

创建者 Shashank T

Nov 22, 2019

Awesome

创建者 Aydan R

Apr 8, 2020

Useful

创建者 Dmitry A

Aug 10, 2015

super!

创建者 Afsana A A

Jul 3, 2020

great

创建者 林聖昌

Mar 28, 2017

good!

创建者 david

Nov 10, 2016

great

创建者 maher a

Feb 6, 2016

great

创建者 عادل ع

Sep 12, 2025

Nice

创建者 Adil

Apr 4, 2025

good

创建者 ANIKETH R 2

Oct 16, 2024

Good

创建者 Poojari P S

May 12, 2022

good

创建者 邱舒敏

Aug 23, 2021

good

创建者 Daniel C

Nov 3, 2017

Gret

创建者 M S

Jul 21, 2017

I am

创建者 Tran Q T ( C

Jul 12, 2025

ok

创建者 Woodsworth A

Apr 5, 2025

NA

创建者 Elisa M

Nov 26, 2015

U

创建者 [email protected]

Dec 13, 2015

It would be helpful if the reading materials had recommended chapters from the textbook that we were asked to download. While it it helpful to have the text book the course is entirely passable without the use of the text, what I caused for me is heavy reliance on the videos and recommended reading material because it consumed less time but then I still feel that there is a bit more I could have learnt. So I suggest using chapters from the recommended text book as well to broaden the knowledge of students who are quite new to Digital Analytics like myself.

创建者 Lachlan B

Oct 4, 2017

This provided a very good framework for marketing analytics. Not intended to be a deep dive into R programming or statistical theory, but if you have such abilities already or are willing to invest into the deeper study of these and related skills then again, this provides a great framework within which to apply such skills. If you already have relevant technical/analytical skills then this will really help you, as the course title says, put them into practice in a professional setting.

创建者 Harolyn A (

Oct 10, 2018

I was interested on Analytics, but not that much because I have my tendency to be atracted to creativity, and I used to think that were two different worlds. Thanks to this course now I enjoy even planning a research, but obiously more creating the report.

The professor is clear, and the lectures and offered reading are pretty usefull, it does not matter what you work.

You will enjoy it and can take a lot of advantage, specially improving your reports.