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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
27,213 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

PK

May 9, 2020

The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

筛选依据:

5901 - Introduction to Data Science in Python 的 5925 个评论(共 5,986 个)

创建者 Vasil D

Dec 7, 2016

Lessons were ok but the assignments were really frustrating, not because of the questions itself but because the questions were organised badly or were really vague and confusing.

创建者 Bibek T

Sep 15, 2022

The instructor in the course is just performing on his own and just reciting the script. He simply does not teach. I think this course should be omitted from coursera platform.

创建者 SHARLIN S

Mar 3, 2022

Horrible experience with the course. The instructor just reads out from a script and the speed is horrible. The assignments are so hard, and its not even taught in the course.

创建者 Suvansh B

May 31, 2019

Not much practice work, one will easily forget the concepts. The mentor speaks and types too fast, most of the time you will lag behind. Its like someone is reading a book.

创建者 Shahriar R D

May 6, 2020

The course contents are great but the instructors are not. I struggled a lot and had to watch a lot of tutorials from other places and finally I learned the contents.

创建者 Henrique R

Sep 7, 2020

Explanations are superficial, and it relies too heavily on self-learning. For that I can simply check Python's documentation without paying the course's monthly fee.

创建者 Miryam E

Jul 21, 2020

There is no helpful guide to the tasks, you don't know the results in advance so you don't know if you are doing well or not.

Tedious and you don't learn anything.

创建者 Caleb J

Feb 16, 2022

way too fast. A 30 minute session takes over an hour to understand as the lecturer just flies through it and the assignmentss and quizess are way too difficult.

创建者 M

Aug 17, 2021

Course material was presented pretty simply without examples that related to the programming assignments. Didn't provide me with the tools I wanted it to.

创建者 Victoria S

May 3, 2020

the lectures are not helpful at all, assignments were organised poorly - there impossible to see mistakes, in other words- go break your head over it

创建者 ILLIA S

Mar 25, 2021

Corrupted or outdated data in week 3 and week 4. Hidden tests that fail and you can't get the reason...

Besides of that - the material given is good

创建者 Dheeraj a

Jul 4, 2020

The instructor teaches you very liitle and expects you to do thing of your own.It was the worst course i have done until now.The instructor is mad.

创建者 Wing K W

Jan 8, 2022

The assignment is lack of information. The data provide is not match with the data definition. How can we finish a 202 page PDF for 1 assignment?

创建者 Zain R

Aug 5, 2019

The pacing for the course is horrendous, this class quickly becomes impossible to do without looking up answers as the lectures do not help at all

创建者 Azima A

Aug 31, 2020

The Course is too general, not going into details of how codes should be written. In order to pass the assignments you need to separately study.

创建者 Chris M

Mar 31, 2017

Unclear assignments, lectures are brief and sometimes unclear. Spent more time trying to understand what was being asked than actually learning.

创建者 Deleted A

May 26, 2024

The course just jumps into practice without talking about Data Science concepts and the assignments are really hard for an "introduction".

创建者 Egbeola A

Apr 9, 2020

The lectures videos were poorly structured, the only good things were the assignment which on its own can teach better than the lecturers

创建者 Daniel V

May 3, 2020

The course material is good, but the auto-grader does not work properly. Most time on week 3 assignment is debuggin this auto-correcter.

创建者 Brian V S

Nov 19, 2016

Very knowledgeable professors, but very little explanation or actual 'teaching'. Graded assignments require a lot of self-education.

创建者 rachel l

Jun 22, 2020

Not much information for beginners without a coding background. Assignments are impossible given the video tutorials we have.

创建者 Daniel Z

Nov 11, 2021

Can't learn anything. Nothing is explained properly, everything is just dumped at once and you are expected to know all

创建者 adithya s

Jun 13, 2020

it is very hard for beginners to understand!! More example type teaching is required than simply dictating the theories.

创建者 Ravi T

Mar 31, 2019

The instuctor is too slow and the way of teaching could be made more interactive and interesting , like CS50 of Harvard