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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
25,652 個評分
5,715 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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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.

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

篩選依據:

5226 - Introduction to Data Science in Python 的 5250 個評論(共 5,666 個)

創建者 Ryan S

2017年11月22日

homework format of outputting values from functions needs to be improved

創建者 Abhishek P

2020年5月10日

Course way too easy and has quite less information/knowledge to offer.

創建者 Shivam P

2020年6月26日

The assignment is too difficult compared to what they teach in course

創建者 tushar s

2020年6月20日

Not providing in-depth knowledge of functions through video lectures.

創建者 Chirag S

2020年5月18日

Expected a detailed explanation instead got a very brief explanation.

創建者 Christopher C

2020年3月30日

Only a few resources. Each Jupyter Notebook lack context and comments

創建者 Stefani N

2018年5月29日

I think the assigments are a bit difficult for an introduction course

創建者 Jaepil L

2018年3月26日

nice intro, but requires background knowledge and self-study,,,,a lot

創建者 Thanasis M

2017年8月26日

Very handy exercises, but the lesson lacked in examples and guidance.

創建者 Cunquan Q

2020年3月11日

Too quickly for me! I need to stop and type the codes on my laptop!

創建者 nitish k p

2020年6月15日

the course should be updated and assignment questions are unclear

創建者 Azadeh T

2020年6月8日

The assignments are waaaay more difficult than the class material

創建者 Subiksha P

2020年6月3日

Last week assignment involved topic which was not taught in-depth

創建者 Torsha M

2020年9月4日

It has helped in building data structure and understanding of so

創建者 riffault f

2019年5月12日

I would like to have more precisions during the video courses

創建者 Tan L M

2020年5月13日

Course assignment is not on the same level as content taught

創建者 Alessandro M

2020年7月28日

Very good assignments shame the video lessons are very poor

創建者 Asheesh L

2019年1月28日

Course was ok. Submission of assignments is really painful.

創建者 Rounak C

2020年4月28日

Amazing content but needs to be a little more structured

創建者 Giorgi B

2017年4月19日

Much more difficult assignments than taught in lectures

創建者 Swathi P P

2020年6月2日

this course could have covered much more deeper topics

創建者 HIMANSHU S

2020年5月29日

Its very useful for me. thank you so much for help me.

創建者 Viren S

2020年6月7日

Need basics to be cleared before entering this course

創建者 Galen S

2017年9月26日

Thought assignments could have been better designed

創建者 Michael T

2016年12月27日

To much disconnect between assignments and lectures