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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

25,768 個評分
5,734 條評論


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....




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.



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


5126 - Introduction to Data Science in Python 的 5150 個評論(共 5,687 個)

創建者 Joel B


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


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


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.

創建者 Ahmad A


The assignment descriptions needs to be precise (with psuedo code).And the statistics part needed a lot visualization to aid understanding.

創建者 Jordan K


The material is valuable and taught well. The lectures are impossibly fast paced (lots of pausing) and the assignments are often ambiguous.

創建者 Adam P


Assignments were more difficult than they needed to be because many of the directions were unclear. Otherwise, the class was interesting.

創建者 Vipin G


Great Assignments, Great learning, but requires good "prior" knowledge of Python and Pandas. This is more of a refresher course in Pandas.

創建者 Marat K


Much more time needs to be invested into theory of the data frames. The course is too lightweight for the heavyweight topic it's covering.



Course materials should be scrutinized. It's like the mentor is going through a scripted page. I understood very little from this course.

創建者 Tobias T


Good course for the basics, but the assignments are very difficult as lectures do not cover everything which is asked in the assignments.

創建者 Greg S


Great Content. Course Auto-Grader was immensely frustrating. Videos aren't very helpful except to identify where to do your self study.

創建者 Sai S B


The course assignments are at a very good level. But, I feel the course doesn't prepare you for that. Most of the work is self-learning.

創建者 Kelsey S


The examples used are so small it's hard to understand how to use these skills in real-world situations if you aren't as used to Python.

創建者 Michal Z


There should be more Pandas API hints in lectures, it ware really hard to find optimal ways to perform operations on DataFrames I wanted

創建者 Francesco L


The course lessons could have been more specific and provide more explanations on many topics that are later required in the assignments

創建者 Jimi O


Lectures are interesting but coursework is challenging. It requires significant external reading and understanding to stand a chance.



The demanded exercises were way harder than the content taught. Also, the main teacher isn't didatic, he speaks in a monotonous way.

創建者 Morales J S


is good to make students to investigate but, in the whole course i was thinking that youtube teached me more than the course itself.

創建者 Sergey S


It is a bit messy. There are bugs and the sytem of ex submission is not really well done. There is a problem with the certification.

創建者 MS


The instructions are well and clear. I wish we were given more examples and the data files to play with. Overall enjoyed the course

創建者 Cedric R


First Assignment was pretty unclear where to find or what to do. Makes no sense to explain it the week after from my point of view.

創建者 Taylan T


The instructor just reads the notes in front of the camera. The lectures are boring and uninspired. I do not recommend this course

創建者 Feroza A


Assignments should relate to what is discussed in class, too much of what is in assignments is not clearly explained in the class

創建者 Ankur J


Content was excellent but pace was fast and gave a feel of robotic lecture as the code in jupyter was also flowing like anything