此课程适用人群: This course is part of the skills-based specialization “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
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
4.5 stars
Average User Rating 4.5查看学生的留言
Course 1 of Specialization
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课程作业
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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 4.5,总共 5 个 1,180 评分

Is challenging and you learn about a bunch of different aspects of pandas. Never forget to take notes about what you are learning and review them later.

Thank you very much for an awesome session. The concepts have been explained well and the assignments reinforced the learnings and pushed me to do a lot of self learning too.

It provides plenty resources and requires a lot more effort from the learners of point of view.

Great course in hands-on experience with Python on data analytics. Before the class, I took a intro class to Python in my school covering basic commands, and thought this Coursera course would be kind of easy. But it turned out to be a very intensive one. I take more than 6 hours to complete the homework.