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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:

4626 - Introduction to Data Science in Python 的 4650 个评论(共 5,994 个)

创建者 Lokesh V

Feb 24, 2019

since i'm a new bee to python i am expecting little bit slow of explanations

创建者 CMC

Feb 9, 2019

Good introduction to pandas. The programming exercises were quite effective.

创建者 Juan M M

Dec 28, 2017

Basic course to understand some important element in Data Science with Python

创建者 Zargham k

Jan 21, 2021

course was good. But assignments are not designed well enough. so confusing.

创建者 Anthoniraj A

Jun 20, 2020

the course videos should be slower and concepts should be explained clearly.

创建者 Haochen W

Jul 7, 2019

it is a fantastic coursera but the assignment is not relevant to the vedios.

创建者 Anjali R

Jan 2, 2019

Thank you for educating and expertising us in new topics through this course

创建者 Applied M

Apr 1, 2018

this coursed gives us a brief idea about data science using python libraries

创建者 Churamani P

Jul 30, 2017

I think a little more explanation from the Professor would have been helpful

创建者 Taewon M

Jan 25, 2017

It's great course, but the assignments are so hard to data science beginner.

创建者 Sameeksha K

Aug 6, 2021

There are more functions that can be explained in pandas & especially REGEX

创建者 Animesh K

Nov 18, 2020

Good course. Assignments are challenging. Overall good introductory course.

创建者 Alonso G L

Feb 19, 2020

Great opportunity to learn pandas. Some previous experience is an advantage

创建者 Anindita N

Sep 22, 2018

good but Statistical analysis part should be more explanatory with examples

创建者 Matthew W

Oct 8, 2017

Contents are not hard but assignment need more practice and time to finish.

创建者 Thibaut L

Jul 11, 2017

interesting but could provide some mathematical background for further info

创建者 Rajib K

Feb 12, 2021

I would prefer to have a generic assignments, this is too much US centric.

创建者 Tarush B

Jun 14, 2020

The focus was on self study and that was really a good learning experience

创建者 Karan M

Jun 23, 2019

Excellent course with lots to learn, but also loads of self learning to do

创建者 Jesús P A

Feb 23, 2017

Perfect to get hands on with python programming for data science purposes.

创建者 Niraj K

Dec 22, 2016

Great course, Gives good outline to navigate through the essential content

创建者 John T J

Oct 12, 2022

Good overall. The assignments have some problems with ambiguous wording.

创建者 yasmina D

Jul 17, 2020

i wish we could have some practise assignements like in the other courses

创建者 Anuj K

Jan 21, 2020

Coding environment should be improved. Assignments should be more guiding

创建者 Anurag M

Jan 6, 2020

Assignments are really good but the pace of teaching can be improved upon