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Intro to Analytic Thinking, Data Science, and Data Mining に戻る

カリフォルニア大学アーバイン校(University of California, Irvine) による Intro to Analytic Thinking, Data Science, and Data Mining の受講者のレビューおよびフィードバック

4.0
53件の評価
11件のレビュー

コースについて

Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts. A brief overview of Descriptive, Predictive, and Prescriptive Analytics will be provided, and we will conclude the course with an exploratory activity to learn more about the tools and resources you might find in a data science toolkit....

人気のレビュー

RS
2021年1月2日

I consider this course a must for one's journey into Data Science. The videos are short and to the point to serve the purpose of the course.

CA
2021年2月11日

The knowledge asked in the first quiz, hasn't been mentioned before in the reading.

フィルター:

Intro to Analytic Thinking, Data Science, and Data Mining: 1 - 11 / 11 レビュー

by Chakrit A

2021年2月11日

The knowledge asked in the first quiz, hasn't been mentioned before in the reading.

by Rahul S

2021年1月3日

I consider this course a must for one's journey into Data Science. The videos are short and to the point to serve the purpose of the course.

by Samin Y A

2020年12月25日

Mostly reading resources, but a great course!

by Haibo L

2021年1月9日

Too general introduction. too much reading but not enough lecture.

by MARIA C Y M

2021年5月21日

It is informative and gives me overview about data science and the future

by Analyn B

2021年1月19日

Thank you so much!

by Mrinal J B

2021年1月18日

an amazing course

by La V M

2021年1月28日

Great course

by SANA F

2021年4月17日

Good course

by Aron T

2021年1月25日

A bit too basic, although i did learn some fundamentals

by Tad K

2021年7月15日

T​here were readings; no lectures. The course had little to do with its title. I had hoped for a lot more. I see no reason to continue w ith this specialization. Others have put a lot more effort into teaching these topics. This course was a waste of my time. I'd give it less than one star if that were an option.