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学生对 密歇根大学 提供的 Introduction to Data Science in Python 的评价和反馈

25,673 个评分
5,718 条评论


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....



May 9, 2020

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


Sep 28, 2021

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.


5201 - Introduction to Data Science in Python 的 5225 个评论(共 5,673 个)


Nov 13, 2017

Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.

创建者 Surya G

Aug 24, 2020

Great course but not for beginners and also i felt the lectures were short and rushed

创建者 Subhajit B

May 18, 2020

It was too fast paced and I had to a lot of homework myself after the video lectures.

创建者 Saul S

Dec 27, 2019

Could have been far better thought out, and the content is not particularly engaging.

创建者 Vignesh M

Jul 10, 2020

The assesment part is too difficult compared to concepts explained in the lectrues.

创建者 Gunjan C

Jun 18, 2017

A very good course, but found it a bit monotonous. Assignments were good (and tough)

创建者 Ting W

Sep 18, 2019

Contents of the class are limited, more details and examples will be more helpful.

创建者 pranay b n

Mar 28, 2019

Nice course but just by referring to videos answering the assignments is difficult

创建者 Rahul N

Mar 21, 2020

Good Course, but felt that the instructor goes too fast on some difficult topics.

创建者 Zebbe R

Jul 25, 2021

bon cours complet mais on est laissé trop en autonomie pour les devoirs à rendre

创建者 Seyed S F

Oct 6, 2020

Thank you all. I think Coursera's platform is a little confusing for this course

创建者 Joachim S

Jun 21, 2020

Technical issues in the assignments makes the course harder than it needs to be.

创建者 Peter D

Apr 2, 2018

The course assignments were very tough for me, much harder than I anticipated...

创建者 Keith H

Apr 29, 2017

a decent introduction into the world of python dataframes via the pandas library

创建者 Ignacio Y M

Feb 6, 2022

Ejercicios demasiado elaborados y complejos, requirere mucho tiempo de trabajo.

创建者 Oswaldo C

Jun 29, 2020

You have to make a lot of research on pandas documentation to do the assigments

创建者 Mr Q

Jun 27, 2020

Typical school concept. Lessons level 1, quizzes level 3, assignments level 50.

创建者 Sid J

Aug 18, 2019

Bit faster than expected, should have disclaimer to learn pandas basics first.

创建者 ti t h

Oct 27, 2018

Auto grader needs to give more feedback. Too many things to learn by yourself

创建者 Anil K N

Jun 22, 2019

There should have been more quizzing assignments rather than the coding ones


Jun 29, 2020

in starting course is good but at the end it will become boring and lengthy

创建者 Thiago J M M

Apr 21, 2020

Os exercícios estão em nível absurdamente complicados emm relação as aulas!

创建者 Thomas G

Sep 25, 2019

It's really informative, but there is too little instruction in my opinion.

创建者 Jens R

Nov 28, 2018

In my point of view, the lectures and the assignments are not well matched.

创建者 Jai L 1

Apr 13, 2020

Tutotial videos of jupyter are very fast and need much time to understand.