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Вернуться к Predictive Analytics and Data Mining

Отзывы учащихся о курсе Predictive Analytics and Data Mining от партнера Иллинойсский университет в Урбане-Шампейне

4.4
звезд
Оценки: 120
Рецензии: 28

О курсе

This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients....

Лучшие рецензии

SK
3 авг. 2019 г.

Prof. Seshadri was amazing. Learned how to model and analyze data for various use cases. Excellent course for people looking for a good understanding of data modeling and data mining.

VC
6 авг. 2019 г.

Professor Seshadri is a master of the Data Analytics art! Great teacher. Learned a lot and loved the course.

Фильтр по:

1–25 из 29 отзывов о курсе Predictive Analytics and Data Mining

автор: Jie W

28 июля 2019 г.

This is a worst class you can take. If you have no prior background, avoid taking this class.

автор: H. W H D

5 авг. 2019 г.

Great subject and professor does a great job explaining concepts, but challenging to execute the assignments with limited execution instruction and errors in provided scripts. With some corrections and improvements, this could be a great course.

автор: Li Y

3 авг. 2019 г.

With a better organization of the materials and order of contents, this course would be very valuable course.

автор: Ali G

6 авг. 2019 г.

One of the worse class I have taken so far. The instructor did not explain the material very well and lots of confusion were there. The response from the staff was really hard.

автор: Andy B

3 авг. 2020 г.

Professor Seshadri excels at communicating complex concepts and his presentation style works well in remote channels. The coursework is relevant to anyone responsible for performing or managing individuals responsible for data analytics.

автор: Elie F

6 авг. 2019 г.

Very informative course. Found explanation to many analytics subjects. Professor is very experienced. More video tutorials on Rattle would have been great. Plus some Peer graded assignment instructions need more clarifications.

автор: Sudhan K

4 авг. 2019 г.

Prof. Seshadri was amazing. Learned how to model and analyze data for various use cases. Excellent course for people looking for a good understanding of data modeling and data mining.

автор: Song K

5 мар. 2020 г.

not bad, but I think if you could provide us much more materials about the R scripts about the useful program packages.

автор: Venka P C

6 авг. 2019 г.

Professor Seshadri is a master of the Data Analytics art! Great teacher. Learned a lot and loved the course.

автор: nilu s

18 авг. 2021 г.

syllabus designed is well and explained well by the trainers.

thank you.

автор: Babar H

29 нояб. 2019 г.

I have learned a lot by this course and Instructor, Thanks Coursera

автор: Jay K

5 авг. 2019 г.

this class was intense but i have learned a lot, glad taking it

автор: Bipin B

14 сент. 2020 г.

Good foundation course to understand Data Aanlytisc

автор: Patricia B

30 авг. 2021 г.

Very detailed and well explained, good experience!

автор: Ekene M

10 авг. 2019 г.

Tough Course but very useful knowledge

автор: Anushree K

30 июля 2020 г.

Professor Sridhar Seshadri is great!

автор: Roman B

2 авг. 2019 г.

It was difficult, but very helpful.

автор: Weiqiang C

4 авг. 2020 г.

heavily loaded but well worth it!

автор: Mei W

2 авг. 2020 г.

nice and clear on each topic

автор: Venkatapathiraju p

30 нояб. 2020 г.

exceptional and nice course

автор: Gayathri.R

17 окт. 2020 г.

good course

автор: Ansas M K

8 авг. 2020 г.

great

автор: kaviya.B

17 окт. 2020 г.

good

автор: Felix R

14 окт. 2020 г.

Good overview of some selected methods. Not all algorithms that are relevant for the subject are covered, there is not enough time for that. However, more detailed material is provided. The videos are sometimes inconsistent. Obviously parts of a larger course have been taken out to put this short one together. So there are soemtimes references to content that was supposedly already covered, but actually didn't happen. But this does not limit the learning possibilities any further. It is a pity that there are soemtimes no sample solutions for exercises. The answer keys for the assignments are sometimes very short. Detailed explanations and justifications would be desirable here. All in all, the course is ok to get an insight into the subject matter in quite a short time, but it ca be improved. If you are looking for an in-depth discussion of the topic, you are in the wrong place.

автор: Subhajyoti C

20 июля 2020 г.

While this course offers a great opportunity to learn some great concepts and Prof. Seshadri really explains the concpts wonderfully and with great detail, I felt, it also leaves out some key topics that could be beneficial to understand the concepts better. For example, the key concepts of model tuning should have been elaborated further or some of the other practical uses cases of of models in business decision making could have been included. Note. The intent of this course is not to teach machine learning or data science but how to apply these principles to a business problem. However, once some of these gaps are closed this is going to be definitely a 5-star course!