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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:

4751 - Introduction to Data Science in Python 的 4775 个评论(共 5,994 个)

创建者 Nasir H

Jan 6, 2020

The content was high level and good. You should explain more

创建者 Hannah

Sep 1, 2019

Good courses and exercices but difficult to submit sometimes

创建者 Andreas B

Dec 27, 2018

Great course. Tasks being not precise is sometimes annoying.

创建者 Snehasish S

May 12, 2018

Course videos should be more and in detail for each concept.

创建者 Manuel T

Jan 8, 2018

Quizzes do not match videos. Anyway, great course all in all

创建者 Aaron W

Sep 29, 2020

Very good introduction. Assignments were really difficult.

创建者 Karan S

May 14, 2020

Was quite condensed and not explained fully in some places.

创建者 Dhruv S

May 5, 2020

Assignment 3 is very ill-planned rest of the Course is good

创建者 Onur D

Jun 2, 2019

Great content, just some parts need a bit more explanation.

创建者 Рычков А В

Apr 17, 2019

Последнее задание, требует подгонки данных? Очень странно..

创建者 SUDHANSHU Y

Mar 11, 2019

This course is best to start in Data Science for beginners.

创建者 Purusharth A

Mar 12, 2018

Very effective course to start with Data Science in Pyhton.

创建者 ANGEL A L B

Jul 30, 2017

It has its problems, but it's a great start to Data Science

创建者 bret r

Dec 3, 2016

Good content - some prior knowledge of pandas is important.

创建者 Sanjay S

Aug 6, 2020

This was a good course. I recommend it. I learned a lot.

创建者 Abir H R

May 10, 2020

videos should be a more informative and Very hard exercise

创建者 Haven X

May 3, 2020

good but the online notebook version is a little bit older

创建者 Mike B

Oct 11, 2017

Good, basic introduction to basics of the Python language.

创建者 Ho Y C

Jun 12, 2017

The exercises are good for thinking and learning of python

创建者 Neha J

Sep 18, 2024

Quite descriptive and the assignments are really helpful!

创建者 DAVID A D A

Sep 4, 2020

It was a little hard for me but i learned a lot.Thank you

创建者 NIMIT T

May 26, 2020

it was great to learn this whole experiance is amazing: )

创建者 Harshit Y

May 10, 2020

Assignment level is quite high as compared to content tau

创建者 Nikhil Y

Dec 13, 2018

Thank you Coursera for providing such a wonderful course.

创建者 Christopher R J

Aug 24, 2018

It is a best introduction about python and analysis data.