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學生對 密歇根大学 提供的 Introduction to Data Science in Python 的評價和反饋

4.5
25,758 個評分
5,733 條評論

課程概述

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

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PK

2020年5月9日

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

YY

2021年9月28日

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

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5101 - Introduction to Data Science in Python 的 5125 個評論(共 5,684 個)

創建者 Manuela D

2018年1月3日

Some exercises of the assignments where ways to difficult compared to what learned during lectures: much more details should be provided about data manipulation

創建者 PRACHUR G

2020年4月27日

the course is really good but there are issues with autograder. Though they are addressed in forums you'll have to go through them and hence wasting your time.

創建者 Joshua C

2018年1月24日

You'll spend more time struggling with the jupyter notebook (assignment platform) than actually writing or learning code. The lectures are really good, though.

創建者 Yan X

2019年11月4日

Great content. But some assignment questions are not that clear and might cost you more time than its worth. And feedback from mentor is not that responsive.

創建者 Abhijit G

2018年4月27日

The course is well designed and assignments are complex. What I did not like about this course is that the assignments are not well explained with examples.

創建者 Narayan S

2020年8月17日

The main problem is with the auto grader. There are too many issues making it cumbersome to get the assignment submission right in one go. Please fix this.

創建者 Parth M

2020年7月12日

Had to learn most of it by myself. Got discouraging at a certain point. Should have informed about the prerequisites.

Learn Numpy, Pandas before enrolling.

創建者 Ryan T

2020年5月18日

Some parts were quickly rushed through and poorly explained. However, they did explain the bare bones of pandas, which was the main reason for this course.

創建者 Pengyue S

2018年7月1日

There is one critical technical problem lying in the assignment three and already caused hundreds of students' grade blank in the forum, including myself.

創建者 Nehal c

2019年7月3日

As a beginner I found it a bit of a brisk over the topic. There was a lack of basic questions. But in the end I was coping up and then the course ended.

創建者 KUSHAL B

2020年7月14日

too fast in explaining it was bit difficult to keep up with the explanation,small code example were taught but assignments questions was too difficult

創建者 Aram M

2018年5月25日

Great course material, but the autograder system was frustrating to work with for assignments, and often made me less motivated to work on the course.

創建者 Himansu A

2019年1月16日

The course is okay for beginners as it is having only few lecturers for basics. Coursera experience was good. Overall i am satisfied with the course.

創建者 Yaseen H

2018年9月24日

The assignments are not even close what is being taught. We are taking this course so we get everything in one place. Curriculum has to be improved

創建者 Alvaro B F

2021年8月30日

I​ think the lecture about grouping could be improved with more practical examples, I had to search for external sources to understand the concept.

創建者 Souvik B

2020年6月8日

Not at all for beginnners. Fast-paced with more focus on self-learning and grinding,rather than focussing more upon the concepts. Dry presentation.

創建者 Konstantin K

2018年3月4日

Quite bad knowledge delivery from lectures. The course is rather self learning than course. A lot of vague points and uncertainties in assignments.

創建者 VARUN K

2017年3月4日

The course instructor could have been more elaborate with the examples. I felt there was a wide gap between the exercises and the course material.

創建者 Justin L

2016年12月6日

Assignments are challenging, but some questions are very vague and require lots of trial and error guesswork to get the autograder to accept them.

創建者 pouya S

2018年6月29日

Assignments are great to reinforce your learning. But the instructor does not cover many topics and leave you with a lot of questions unanswered.

創建者 Hanwen L

2019年8月15日

Please update the auto-grader such that is it compatible with current version of Jupyter notebook, very frustrating dealing compatibility issues

創建者 Hemanta B

2019年8月13日

This course is a nicely organized. However assignments are not completely clear. Especially assignment 4 needs more explanation and details.

創建者 Joel B

2019年8月1日

Subject matter was very good. Some of the assignments were not clear on instruction, and some of the Coursera functions were buggy or broken

創建者 Paul A

2018年11月5日

Material delivered a bit too rapidly to effectively assimilate. Often, further external research is needed to find solutions to assignments.

創建者 John W

2019年3月27日

I don't think this is a good enough course to "teach" you "data-science". All this does is give you an overview of things you need to know.