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Predictive Analytics and Data Mining(으)로 돌아가기

일리노이대학교 어버너-섐페인캠퍼스의 Predictive Analytics and Data Mining 학습자 리뷰 및 피드백

4.4
별점
121개의 평가
28개의 리뷰

강좌 소개

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....

최상위 리뷰

SK
2019년 8월 3일

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
2019년 8월 6일

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

필터링 기준:

Predictive Analytics and Data Mining의 29개 리뷰 중 26~29

교육 기관: Logan V

2020년 7월 20일

Good course except for response times on discussions. I don't think anyone other than students ever checks them, which is not good - one of the reasons I had to transfer to another class was because of the lack of response on the discussion forums. Other than that, this was a good class though.

교육 기관: PRADNYA A

2020년 10월 8일

I have successfully completed the course and it has helped me to upgrade my skills. I am sure that this is going to help me to carry out my future carrier in Data Analytics efficiently.

교육 기관: Amrita M

2021년 7월 23일

The use of Rattle is unclear. WEKA is a very similar environment with a more intuitive UI. Additionally the instructions provided in assignments are also vague and unclear, leaving a lot to student guesswork.

교육 기관: Abdoulaye D

2020년 1월 1일

bad quality sound.