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Predictive Modeling and Analytics (으)로 돌아가기

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

3.6
별점
554개의 평가
202개의 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

TM

2020년 4월 14일

Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.

HA

2017년 11월 19일

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.

필터링 기준:

Predictive Modeling and Analytics 의 201개 리뷰 중 51~75

교육 기관: Akshat J

2019년 8월 1일

It's a terrible course. honestly. The Professor's English is very often undecipherable, assignments have incorrect options, and there's no help from anybody in charge. Would give 0 stars if possible.

교육 기관: Karan G

2019년 8월 20일

Poor communication and engagement skills. The syllabus has so much potential to be interesting but the teacher wasn't engaging and left most of the important details unexplained.

교육 기관: Jon P

2020년 8월 5일

Course quizzes and assignments are based around an outdated Excel extension that does not work anymore.

Week 3 quizzes have wrong answers.

교육 기관: Ana H

2021년 4월 8일

I would rate negative if I could.

HORRIBLE HORRIBLE QUALITY...Terrible really....... never would recommend it and just a mediocre class

교육 기관: James M

2016년 12월 22일

Test questions for week 3 are incorrect and do not match video / reading. Had to go to YouTube to figure out most of it.

교육 기관: Lam C V D

2020년 8월 28일

Course using XLMiner, not Python. Poor choice. I used Python to get the results, all marked wrong!

교육 기관: Graham C

2019년 3월 21일

Very poor course and delivery of subject matter was terrible - Do Not Take This Course!

교육 기관: Parv A

2019년 5월 17일

Use of some other software can make this course better. xlminer has got a lot of bugs

교육 기관: Heino K

2021년 9월 6일

This course is hard to follow for a non-naive English speaker.

교육 기관: Neeraj V

2016년 11월 21일

Cannot understand the diction..

교육 기관: Lei Z

2016년 12월 30일

poor quiz design

교육 기관: Graciano P

2020년 9월 24일

This class provides a solid foundation on predictive modeling and analytics. It goes from basic models like linear regression to more complex models including neural networks and ensemble models. The material is covered using a tool named Analytic Solver which provides a different approach to the subject by focusing on the high level aspects of the models as opposed to doing the models in Python which would require the ability of the user to code and knowing how to use the many libraries out there for data science and machine learning. This allows the learner to cover a lot of techniques in relatively short period of time while at the same time providing the learner with a broad vision and understanding of the field of study.

교육 기관: Minh T N

2021년 3월 1일

Good course for introductory knowledge about predictive modeling (linear regression, classification, trees, neural network, etc). The accent of the professor makes it a bit hard to follow, nevertheless the content and follow-up exercises as well as quiz assignments and case studies are of superb quality. Highly recommend for those interested in business predictive methods.

교육 기관: Mauricio R s

2021년 6월 15일

Me gustaria que algunos videos (los mas importantes) se explayen mas en la explicacion de los resultados para poder conocer en profundidad que significan cada uno de ellos y así poder interpretarlos. Por ej. que significa un r2 de 0,54 o que significa un RMSE de cierto nivel.

교육 기관: carolinne r

2019년 9월 24일

Very rich and concise content, instructor very intelligent and objective, short and digestible videos. My only suggestion is to improve the quality of the neural network content, in my opinion, the very one too shallow compared with the rest of the excellent content.

교육 기관: Carlos J G A

2020년 7월 16일

Nice course, maybe you can update the instructions, the program has changed a little bit, is not difficult to change some parameters but it would be better with this video updates in XLminer activities. Thanks U Colorado Boulder and professor Dan Zhang

교육 기관: Shalmali C

2020년 9월 16일

The course was really good and informative. A lot more ways to analysing data than one would normally come across and a good explanation of the various concept.

One suggestion would be sorting out the XLminer subscription of excel versions above 2016.

교육 기관: Meenakshi J

2020년 6월 20일

Very challenging but very Informative course. I think this course is good stepping stone for anyone in interested in analytics career. Prof Dan Zhang also pointed to some books and websites which I found very helpful.

교육 기관: thahir n

2020년 4월 15일

Good course to give a basic understanding of predictive modelling and analytics. Good assignments and opportunity to review peer submissions help reinforce the learnings.

교육 기관: Emma w

2020년 1월 14일

This course talk about basic concept about preditive modeling and idea which you need to concern on. And the quizes are so great that you could practice what you learn.

교육 기관: Oleksandr D

2019년 5월 30일

Even though a basic math background is needed, this course is extremely simplified for understanding and being really useful introduction to Predictive modeling.

교육 기관: Nuno C

2020년 6월 5일

Excelent! Even for someone that doesnt work usually with statistic models, this course give the fundamentals insights so that we can go deeper by ourself.

교육 기관: Harliano A

2017년 11월 20일

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.

교육 기관: ADELEKE A A

2020년 7월 7일

It has been very exciting and an eye-opening for me. I am getting into the world of data analytics gradually. Thanks for this great opportunity.

교육 기관: sagar g

2020년 5월 15일

Very nice course, everything is up to the point very clean and clear explanation of concepts with examples and practical illustrations.