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学生对 University of Michigan 提供的 Introduction to Data Science in Python 的评价和反馈

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27,271 个评分

课程概述

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....

热门审阅

TG

Apr 13, 2020

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

ME

Jul 26, 2020

Quizzes were very challenging and interesting. I learned alot. The main drawback in this course is that the materials are insufficient to answer the assignments.And some questions were not so clear.

筛选依据：

5526 - Introduction to Data Science in Python 的 5550 个评论（共 5,994 个）

创建者 Swathi P P

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Jun 2, 2020

this course could have covered much more deeper topics

创建者 HIMANSHU S

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May 29, 2020

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

创建者 Florent G

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Jul 1, 2025

Useful content but the assignments were too ambiguous

创建者 József D

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Mar 28, 2023

too fast paced, does not go into details unfortunatly

创建者 Viren S

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Jun 7, 2020

Need basics to be cleared before entering this course

创建者 Galen S

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Sep 26, 2017

Thought assignments could have been better designed

创建者 Michael T

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Dec 27, 2016

To much disconnect between assignments and lectures

创建者 Samuel L

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Jun 4, 2020

Please update the course pandas and numpy version!

创建者 Vignesh R M

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Jun 5, 2020

Assignment questions are not clearly communicated

创建者 Bindu G

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Aug 22, 2018

assignments are too long and videos are too fast.

创建者 Kalashnik A

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Apr 29, 2018

The quality of the testing system is really poor.

创建者 Qinling Y

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Oct 2, 2018

The assignments are stimulating and interesting.

创建者 Taha R

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Jun 2, 2018

Clear lectures. But assignments need to improve.

创建者 F B

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Mar 12, 2021

This course provides a superficial introduction

创建者 Rene C

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Jul 9, 2023

Assignments are not at an introductory level.

创建者 Vinay K V

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Jul 16, 2020

Course assignments are bit tough make it easy

创建者 Mohamed A

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May 21, 2020

Kinda fast paced and needs more explanation !

创建者 Kondamudi S C

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Aug 2, 2020

The instructor taught this course very fast.

创建者 Chen L

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Apr 4, 2017

More programming details should be included.

创建者 Pravin A J D

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Dec 9, 2018

can be made a bit detailed course on Python

创建者 Maxim P

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Jul 14, 2018

less talking more usefull guiding is needed

创建者 Rohit R

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Jul 12, 2020

Lecture explanation could have been better

创建者 Jin H

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Oct 15, 2017

Good materials but video doesn't help much

创建者 Oleg K

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Nov 4, 2018

Compare to Machine Learning from Stanford

创建者 Shraddha K

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Mar 2, 2019

More elaborate lectures would help more!