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Predictive Modeling and Analytics (으)로 돌아가기

콜로라도 대학교 볼더 캠퍼스의 Predictive Modeling and Analytics 학습자 리뷰 및 피드백

259개의 평가
76개의 리뷰

강좌 소개

Welcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form a solid foundation of predictive analytics, which refers to tools and techniques for building statistical or machine learning models to make predictions based on data. You will learn how to carry out exploratory data analysis to gain insights and prepare data for predictive modeling, an essential skill valued in the business. You’ll also learn how to summarize and visualize datasets using plots so that you can present your results in a compelling and meaningful way. We will use a practical predictive modeling software, XLMiner, which is a popular Excel plug-in. This course is designed for anyone who is interested in using data to gain insights and make better business decisions. The techniques discussed are applied in all functional areas within business organizations including accounting, finance, human resource management, marketing, operations, and strategic planning. The expected prerequisites for this course include a prior working knowledge of Excel, introductory level algebra, and basic statistics....

최상위 리뷰


Nov 20, 2017

this course teach you about the technical of using tools for predictive modeling. very useful for you who want to learn the fundamental of analytics.


Aug 12, 2019

Got to many techniques like boosting, bagging, Neural networks, regression tress etc.. Useful and informative course

필터링 기준:

Predictive Modeling and Analytics 의 75개 리뷰 중 51~75

교육 기관: Ivan Z

Jul 29, 2018

Dan Zhang is a very good teacher.

교육 기관: Avinash T

Aug 28, 2017

Very nice course

교육 기관: Tanay C

Nov 27, 2017

its really good

교육 기관: PRALAY P

Apr 29, 2018

Great Course !

교육 기관: sandhya k

Jan 03, 2017

Well explained

교육 기관: Ameerah R A S

Sep 09, 2017


교육 기관: Mark H

Aug 15, 2019

A challenging course, the most challenging I've had on Coursera to-date. The quiz questions really make certain that you have listened to and absorbed the course material. You will get full marks if you follow the instructions given in the videos regarding how to use the software, but you still need to do independent thought and analysis. Overall, I liked the course.

The only thing that keeps me from giving this five stars is the software package used for the course. I am on a Mac, and the software works best with Windows & excel. There is a web interface and Office 365 Extension for MacOs, but it is clunky.

Also, software costs $25 for 140 day license, and I am not certain how I feel about that. It would be better I think to design the course around R/Python, or to choose a software package that is free without time limitation (restricted functionality is fine, but work the course to operate within the free tier). That being said, I don't know how to do that either, and I am sure the instructors would have chosen that route if it was easier to teach that way on a MOOC.

교육 기관: Eric Z

Apr 10, 2019

I really enjoyed this course, but I did struggle more than I should have with the software tools. In many cases, my version of the tool (the latest) did not match the instructor's version, and I worked to translate my version to his, and that's not a good use of my time. That said, the material was interesting, and the professor did a great job presenting it. I would recommend the course, but I would recommend that you learn to get the results not just in XL Miner, but in R or some other software, as well

교육 기관: Colin P

Oct 04, 2018

Very interesting course that covers a lot, which is good in that it gives exposure to different mining techniques, but bad in that I feel very far from mastering the techniques. Each mining technique could be its own course. Course could do a better job of explaining how to interpret the model outputs.

교육 기관: Shafeeq S

Jan 11, 2019

Very good course for understanding Regression, classification. Other advance predictive models like trees, random forest, neural networks are covered fast. Could have been little more lengthy sessions.

instructor is very fast in explaining concepts.

교육 기관: Rhonda M

Sep 11, 2019

Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.

교육 기관: Cayla C

Sep 09, 2018

Really like the course and learned a lot. Wish that the quizzes didn't offer as much guidance on the steps to use XL Miner. Because this is given, it's not fully testing students on the material

교육 기관: Junyue J

May 18, 2019

The tutor organised the course with clear points and highlights questions during videos. The only confusion is about web version xlminer tool.

교육 기관: Rommy O R G

Mar 30, 2020

Good course, one recommendation is to use, at least, one extra tool apart from xlminer.

교육 기관: Thejes S V

Nov 21, 2016

The Case Assignments are pretty useful

교육 기관: SOUMYA B

Dec 09, 2017

very well explained

교육 기관: Akintan O

Mar 13, 2017

Tricky to Pass

교육 기관: Thu

Mar 24, 2020

A good course overall; however, I expected some further reading recommendations by the lecturer to help develop a deeper understanding of predictive models.

The last peer assignment was boring and too simple relative to the course knowledge level. Plus, one of the tasks was replicated from another one that I previously did.

교육 기관: Richard F

Mar 31, 2018


교육 기관: mark w

Apr 29, 2017


교육 기관: jaiyant

Dec 24, 2019

Very Poor experience, the instructor was very bad, could not understand anything which he said , this can be seen by the number of [INAUDIBLE] present in the subtitles text. The number of application assignments and the questions were very good , with practice I understood all the concepts and I really think that was very helpful.If the instructor is changed and course content increased , this would be a very good course

교육 기관: Eduardo R O S

Apr 01, 2020

The instructor speak to fast and it's hard to understand what he said too many times. The material in the course in not well done. I believe that the course needs to be remake.

교육 기관: tan l d

Jan 06, 2020

The accent of instructor is too strong to understand, it's an unpleasant experience to have listen through the class.

교육 기관: Connor C

Mar 26, 2020

Could not understand the instructor and the information was not useful

교육 기관: Viktoriia D

Mar 14, 2020

Like a hell