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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
27,240 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

KL

Mar 11, 2018

A very nice introduction to libraries/skills used by data scientists. The auto-grader was extremely annoying though. Also, I felt that some of the questions on the assignments were a bit ambiguous.

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:

1851 - Introduction to Data Science in Python 的 1875 个评论(共 5,986 个)

创建者 Kumar

Jun 5, 2020

The instructor's video was very good and the assignment enabled me to think.

创建者 dinesh

Apr 29, 2020

Excellent course. This course is amazing only because of Christopher Brooks.

创建者 Ishant B

Jan 3, 2020

The course was designed very well. The notebooks given were of immense help.

创建者 Edwar L Z

Jul 1, 2018

A really enjoyable course, very well presented throughout and easy to follow

创建者 Shao J

May 22, 2017

I learnded how to effectively use pandas to process data, very good lesssons

创建者 Filipe W

Feb 10, 2017

Congratulations, folks! This course is amazing! I learned *a lot* on it! =]

创建者 umer l

Jan 9, 2017

The best course for beginners like me. The way Professor teaches is awesome.

创建者 Круткин М Д

Mar 27, 2022

This course gave me a good understanding on how to manage data with Python!

创建者 Dhruv C

May 23, 2021

Best hands on course that's out there. Great assignments and great content!

创建者 Anish C

Aug 1, 2020

Excellent information, resources and topics covered! Learned a lot. Thanks!

创建者 Javier S T

Jul 30, 2020

Great Course, a little difficult at the end, but it's really great. Thanks.

创建者 Darshan V

May 30, 2020

A Must course for a Data Science beginner or for a Data Science Enthusiast.

创建者 Maksim A

May 15, 2020

This course teaches you to understand the documentation yourself. I advise!

创建者 Ehtisham A

Apr 21, 2019

This course is amazing and the instructor teach everything in very easy way

创建者 RAMAKRISHNA J

Feb 4, 2019

Excellent course and the things on the way. logical assignments and quizes.

创建者 Jonathan P

Jan 28, 2019

Great class to get the wheels churning in data science and python. Go Blue!

创建者 Taha

Jul 26, 2018

Its hard and you are expected to use other resources a lot but its worth it

创建者 Benjamin R

May 14, 2017

Challenging and fun course. I can see how powerful this methodology can be.

创建者 Artsiom R

Jan 29, 2017

Thanks a lot for your work. It's a great course for data sciense in python!

创建者 Jacopo B

Jan 16, 2017

Very nice introduction to pandas for those who already know how to program.

创建者 José L

Nov 20, 2016

Excellent! A little harder for new students in python but very interesting!

创建者 Maram

Aug 4, 2022

The course is quite helpful, and I have no doubt that it will advance you.

创建者 yongke z

Jul 26, 2021

Very useful! Though the autograder needs to be improved to some extent lol

创建者 Ivan E P O

Mar 3, 2021

You really need to check the drafting in some questions in the assignment.

创建者 Brent B

Feb 11, 2021

This course met my expectations. It is a great introduction to the topic.