Chevron Left
返回到 Introduction to Data Science in Python

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:

4601 - Introduction to Data Science in Python 的 4625 个评论(共 5,994 个)

创建者 Jiunjiun M

Jan 29, 2018

Homework should be better designed to provide more specification and better hints.

创建者 Shubham P

Feb 12, 2017

Please make longer tutorial videos. Sometimes it becomes too fast to cope up with.

创建者 Luca P

Apr 20, 2023

I find the assessments quite though.

Previosuly coding experience is really needed

创建者 김민욱

Jul 26, 2020

I think that if you give more guide for programming assignment it would be better

创建者 yash m

Mar 8, 2020

This course has some really great exercises that aim to give practical knowledge.

创建者 Jan P

Dec 18, 2016

I recomend

Introduction to Data Science in Python

it is a good piece of knowledge

创建者 Jarin t t

Aug 31, 2020

The course content was really good, but the assignments seemed much hard for me.

创建者 Amori H

Nov 4, 2019

Sometimes I just don't know which part of my answer is wrong and why it is wrong

创建者 William L

Apr 17, 2022

The assignments are a bit difficult especially assignment 1 with a lot of regex

创建者 Mario

Sep 10, 2020

Great course but a little bit outdated, with some assingments poorly explained.

创建者 kavitha m

Feb 25, 2019

please give some more material for self learn that would help in assessment too

创建者 Jeff B

Oct 6, 2018

Solid introduction to the most commonly used data analysis toolchain for Python

创建者 Richie M

Jan 1, 2017

Great course, it would be nice to have more interaction and feedback from TA's.

创建者 Jai c P

Dec 27, 2016

course was good but teaching material was not enough to complete the assignment

创建者 Swapnil G

Dec 13, 2016

Assignments needs slight polishing. Otherwise course delivers what it promises.

创建者 Shalha M B

Jan 25, 2022

This courser is one of the best course to learn data science according to me.

创建者 Lionel P

Aug 24, 2021

Very good course. Sometimes the quiz questions were ambiguous. But it is fine.

创建者 Ahmad B S

Jan 18, 2021

Very good course. I'd give it 5 if the assignment requirements are more clear.

创建者 alvaro e a g

Oct 24, 2020

Hands on projects with a little feedback and a lot support from the community.

创建者 kamisetty h

May 31, 2020

It is a good course but it would be better if they involve some more excersise

创建者 Jiaqi

Dec 21, 2016

通过这个课程,学习了pandas和jupyter noterbook,都是非常好用的工具。作业很有挑战性,但是遇到问题都是自己解决,助教提供的帮助比较有限。

创建者 Fran C

Jan 29, 2026

Va directo al grano: explicaciones sencillas y directas, justo lo que buscaba

创建者 Timo K

Apr 27, 2021

Very good course, but it took much longer for me than the estimated 31 hours

创建者 贺世哲

Feb 29, 2020

It's a nice course. But it's quite difficult for me to finish the assignment.

创建者 Nihat I

Dec 7, 2019

It will be excellet if we can get more resources for learning. Thanks a lot .