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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：

2076 - Introduction to Data Science in Python 的 2100 个评论（共 5,986 个）

创建者 Prashant S

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Aug 27, 2019

lecturer was really good but used a little complicated english

创建者 Mahesh M

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Aug 13, 2019

Has the level of programming exercises that I was looking for.

创建者 Pruthvi V

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Aug 2, 2019

I love the way concepts are explained with clear articulation.

创建者 Hugo I V R

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May 27, 2019

Tasks where quite challenging compared to the course contents.

创建者 Arram B

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Jan 9, 2019

Learnt the Basics of Data Science with Python with this course

创建者 Pratyush N

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Jul 21, 2018

Training session and material is very good. it is worth for me

创建者 Wang D

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Apr 18, 2018

Great course! Well designed homework! I learned a lot from it!

创建者 Alexander K

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Feb 16, 2018

Great introduction to practical data manipulation with pandas!

创建者 Ankit T

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Jan 13, 2018

Best course for introduction to python basics, numpy , pandas.

创建者 zaiwen t

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Dec 7, 2016

It is a great course. especially on the excellent assignments.

创建者 Luiz H

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Dec 4, 2016

High quality content and challenging assignments. Really good!

创建者 faisal s

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Aug 6, 2023

An excellent course for understanding basics of Data Science.

创建者 RITIK R

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Sep 11, 2022

it's a great course for anyone starting ml and data science.

创建者 andrew v

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Apr 11, 2022

Difficult, but super helpful for getting familiar with pandas

创建者 Eduard K

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Feb 6, 2022

Challenging, very practical oriented. Active staff on forums.

创建者 Erni Y

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Jan 2, 2022

assignment well designed forcing you digging deeper in python

创建者 Nguyễn P H

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Oct 10, 2021

Good course to start learning Data Science, especially Pandas

创建者 Santiago G G

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Sep 29, 2021

It is a very good course to learn the basics of data analysis

创建者 Jackie C

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Jul 26, 2021

It is not too easy yet not too hard. Really helped me a lot !

创建者 AMIT S

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Nov 27, 2020

learn lot of stuff related to python and different libraries.

创建者 Stewart A

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Nov 16, 2020

Great course, well presented. Interesting and useful content.

创建者 Manosh S C

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Oct 17, 2020

needed more resource for matplotlib library and numpy library

创建者 Piyush H

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Sep 2, 2020

Its an Exceptional Course and Prof. Brooks is a great Teacher

创建者 Vaibhav S

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Jul 4, 2020

Very nice course as it also involves practical implementation

创建者 Sanchit G

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Jun 28, 2020

It expects the learner to understand fast which is difficult.