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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

4.5
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

NF

Jun 17, 2018

I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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:

4701 - Introduction to Data Science in Python 的 4725 个评论(共 5,994 个)

创建者 Veeresh I

Mar 31, 2020

Good course to learn the basic concepts to start with Data Science

创建者 Sean L

Oct 17, 2019

Learned a lot, but mostly by self-learning when doing assignments.

创建者 Yufei H

May 14, 2019

Chapter 2 and 3 are good for me, the rest chapters are too simple.

创建者 Ashley R

Nov 20, 2018

some questions were vague but i guess thats part of the real world

创建者 Aliyu A

Sep 11, 2017

A very good course. recommended for a intermediate data scientists

创建者 aaron_lang

Jul 27, 2017

Overall, the course is pretty good in terms of practice questions.

创建者 Elana A

Mar 22, 2017

Great course and valuable information, but frustrating autograder.

创建者 Maria C P Z

May 30, 2023

The assigments where really hard according to the topics thought.

创建者 soham v s

Nov 3, 2021

it is good course for beginers , jupiter notebook is also a good.

创建者 RUBY P

Aug 2, 2021

It is a good course to attend and start your data science journey

创建者 Akanksha M

Jun 24, 2021

it was a nice course helped me understand more about data science

创建者 Sangram K S

Jul 13, 2020

It was good. The session can be more interactive and interesting.

创建者 Gian C T G

Jun 25, 2020

Need more excersices examples, some homeworks are quite difficult

创建者 Subha M

May 31, 2020

The course was good. But few points were not that up to the mark.

创建者 Anil K C

May 6, 2020

Good assignments to get you to learn the Pandas library in python

创建者 Sadia a S

Mar 21, 2020

It is a helpful course for working with python for data analysis.

创建者 Roy Y

Jul 17, 2019

A great introduction. But assignment grading a little bit tricky.

创建者 hadeer a

Jul 15, 2018

The course was helpful, but the assignments weren't clear at all.

创建者 Ahmed E

Jan 27, 2018

It is a challenging course specially for beginners and assignment

创建者 Dhruba s R C

Aug 16, 2017

A very detailed course. A must do for Data Science enthusiasts...

创建者 N181133 P L S

Jul 18, 2022

Really this course is amazing and lots of stuff given.Thank you

创建者 Partha S

Jan 23, 2021

Its not an easy course and requires a lot of focus and attention

创建者 MINGYANG Z

Jul 15, 2020

The instruction of the homework is sometimes hard to understand.

创建者 Julian L

Jun 16, 2020

It would be much better if all the videos had Spanish subtitles.

创建者 sourav g

May 20, 2020

If you could also provide written material, that would be great.