此课程适用人群: This course is part of “Applied Data Science with Python“ and is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, social network analysis, and text analysis techniques to gain new insight into data. Only minimal statistics background is expected, and the first course contains a refresh of these basic concepts. There are no geographic restrictions. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in these courses valuable in their studies and careers.


制作方:   密歇根大学

基本信息
15专项课程中 Applied Data Science with Python/ 的课程
级别Intermediate
语言
English
如何通过通过所有计分作业以完成课程。
用户评分
4.4 stars
Average User Rating 4.4查看学生的留言
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制作方
密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
评分和审阅
已评分 4.4,总共 5 个 1,647 评分

Very informative. Would be interested to see the correct way to complete many of the assignments, as I'm sure there are more elegant ways to complete them than I used

Nice course for beginners

excellent course

Much harder than I thought. Very in-depth introductory learning of python.

Preferably better if you allow scripting in .py because notebook is rather heavy and hard to

debug while assignments..

Hope you cover a bit more in detail with language structure, as well as give hints for solving assignments, since many parts were pretty above course level.

I would say the assignments were hard even for an R practitioner learning python like myself.