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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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27,240 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

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.

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.

筛选依据：

2301 - Introduction to Data Science in Python 的 2325 个评论（共 5,986 个）

创建者 Juan M P C

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Aug 30, 2020

EXCELLENT COURSE, VERY TECHNICAL. 100% RECOMMENDED

创建者 Drake A

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Jun 14, 2020

Excellent course! I've learned interesting things!

创建者 Erol

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Apr 24, 2020

That's perfect journey! Especially in Assignments!

创建者 Ashish S

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Dec 13, 2018

Very good course for using python for Data Science

创建者 Praveen K S

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Oct 16, 2018

This course is really helpful for learning purpose

创建者 Tushar B

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Jul 17, 2018

Perfect place for beginners to learn data science.

创建者 Suma D

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Mar 4, 2018

Excellent course. Like to join the next in series.

创建者 Alaa S

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Dec 12, 2017

The course is very good , it really helped me alot

创建者 Burak D

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Dec 10, 2017

Excellent course. It provides hands-on experience.

创建者 Tony J A

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Sep 18, 2017

Amazing Course. Set my foundation in data science.

创建者 Jaqueline P

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Aug 2, 2017

Great course! real example to use pandas and numpy

创建者 jacopo m

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Mar 17, 2017

really interesting course and professors are great

创建者 Tony L

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Dec 8, 2016

Best Python Pandas 101 course ever. Very recommend

创建者 Tural M

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Jul 10, 2023

It was a good one. A strong fundamental one. Nice

创建者 Ihor T

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Jan 17, 2022

This is my first course on coursera. Great thanks

创建者 Hai D

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Apr 28, 2021

Good course, but some assignment was very tedius.

创建者 Frank R

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Sep 21, 2020

Nice and challenging content. Great final project

创建者 Md. S B R 1

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Jun 28, 2020

Very Helpful and the learning method is very nice

创建者 Anatoly D

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Jun 28, 2020

Ok-ish video lectures, but very great excersises!

创建者 SUBBA R D

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Jun 11, 2020

Very useful course especially for the beginners .

创建者 Saqeeb

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Apr 7, 2020

One of the best mooc for data analysis beginners.

创建者 Mohamed B

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Nov 10, 2019

Nice Stuff, practical tasks, meaningful exercises

创建者 D. S

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Oct 9, 2019

Very well designed course. Learned a lot. Thanks!

创建者 claudius t

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Mar 3, 2019

This is an awesome course, instructor was GREAT..

创建者 Rangari, A

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Aug 6, 2018

highly recommended to all data science aspirants.