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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

TG

Apr 13, 2020

Awesome course! I haven't done any course like this. Explanations were very clear and deep, which is very helpful to learn the content. Thanks a lot to the professor and the University of Michigan.

PB

Jan 3, 2019

Excellent content and up-to-date material. Dont get 5th star because despite very well crafted Exams, there are evidently some problems with explanations and the "grader" ends up being too restrict.

筛选依据:

1076 - Introduction to Data Science in Python 的 1100 个评论(共 5,986 个)

创建者 Clément S

Jun 14, 2017

An excellent dive in Python and Pandas. Christopher's course combines fast-pace and clarity; you never have to wait for the video to move forward. Thanks !

创建者 Ascánder S

Mar 7, 2023

Excellent. Very challenging if you are not experienced with Pandas or Statistics. You'll start to become comfortable with Pandas by the end of the course.

创建者 olatunde o

Jul 17, 2022

seriousely this course is awesome! I'm be part of this course as a student and i wish to dive more. My gratitude goes to the entire instructors. Thank you

创建者 Utkarsh G

Jun 29, 2020

It was a nice insight on the topics and methods which are being use for data cleaning,data integration and data analysis with their meaningful extraction.

创建者 Zain U E

May 10, 2020

Excellent course content. You can feel the challenges and the course provided a vision not only about problem-solving but overall knowledge of the domain.

创建者 Ta-Liang L

Apr 19, 2020

The course content of Intro to Data Science in Python offered by Uni of Michigan is extremely useful and well-organised. It is quite handy to the beginner

创建者 Shantanu T

Mar 8, 2017

Although, i had some basic knowledge of data science before and also i did some programming in python, yet i find this course comprehensive and practical.

创建者 Andrew G

Feb 2, 2017

The lecturer is excellent, the forums are active and useful and the exercises are a good mixture of challenging and enjoyable. A very good course overall.

创建者 Dipanshu S

Aug 25, 2021

Best Course for Understanding concept of Data Science with lot of tools by python.

But you have to be pretty awesome in python for countering this course.

创建者 guru k

May 13, 2020

The course perfectly designed. Everything is not spoon-fed. This course encourages self-research. Looking forward to completing the whole specialization.

创建者 Sabarinath S S

Apr 26, 2020

It was a great platform for me to understand the key concept of data science from great university through a great platform(coursera) hope i can do more

创建者 Eliška C

Dec 9, 2019

Very well structured course encouraging self-study, debugging skills and active knowledge application, instead of just blindly following course material.

创建者 Amine D

Sep 30, 2019

This is a very good course, i grabbed the python for datascience ebook and read both at the same time. I feel like i have now a strong python base for ML

创建者 Цыганкова И В

Jul 28, 2019

This course helped me a lot. I personally think that this is the essentials of getting known how to properly use python. I highly reccomdend this course.

创建者 Narendra P

Feb 9, 2018

An amazing start to hard work that data scientist do! Its not all applying fancy algorithms, you have to get your hands dirty and clean up your own data.

创建者 nitin p

Jan 29, 2018

This course is one the best course on Data science .It has covered almost everything from scratch and has provided enough guidance for the future courses

创建者 Thanh V N

Jul 26, 2017

Challenging, and some of the questions were poorly/wrongly worded. But the exercises were good practice, and manageable with some programming experience.

创建者 胡胜康

Nov 21, 2016

it's a really good course .it's not like a traditional course in university in China.You should put all your efford to finish it.And it full of challenge

创建者 Tyrone N

Sep 19, 2019

Very informative and useful. Will teach you functions you did not know about. Simplifying certain tasks that you may have done "the long way" previously

创建者 Spark T

Dec 30, 2018

A very great course for people who are good with some programming language other than python.

This course will teach how to do data analysis using Python

创建者 Esmerlin R M

Jun 17, 2018

Este curso no tiene desperdicios, en realidad vale cada peso y tiempo invertido. muchas de las cosas aprendidas en este curso lo aplicare en mi trabajo.

创建者 Héctor M

Feb 26, 2017

Is challenging and you learn about a bunch of different aspects of pandas. Never forget to take notes about what you are learning and review them later.

创建者 Jens H

Oct 16, 2022

Although this is an introductory course, it is still very demanding and challenging. Nevertheless, the learning success is present and very satisfying.

创建者 Kaustubh M

Dec 28, 2021

The course content was concise and well synchronized. The assignments are bit challenging which is good for better understanding of the topic. Loved it

创建者 Esteban V G

Jun 5, 2019

Great course if you know some programming in other languajes. I would recommend have a previous Python course if you do not have any programming basis.