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學生對 伊利诺伊大学香槟分校 提供的 Predictive Analytics and Data Mining 的評價和反饋

118 個評分
28 條評論


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....



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.


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


26 - Predictive Analytics and Data Mining 的 29 個評論(共 29 個)

創建者 Logan V


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.



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.

創建者 Amrita M


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.

創建者 Abdoulaye D


bad quality sound.