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学生对 密歇根大学 提供的 Introduction to Data Science in Python 的评价和反馈

4.5
25,176 个评分
5,620 条评论

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

YY
Sep 28, 2021

This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.

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

筛选依据:

5501 - Introduction to Data Science in Python 的 5525 个评论(共 5,566 个)

创建者 Dulain T G

May 30, 2020

The instructor is the embodiment of monotony - adding to that, his lecutres are lacklustre, uninformative, and the student has to live and breathe on stack overflow for every assignment.

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 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 22, 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 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 Will W

Apr 24, 2021

This course has many errors and bugs in its materials. I don't know why the administrators refuse to fix it but it comes off as shoddy and poorly managed.

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 Leonardo W

Jan 8, 2022

T​he 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 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 B

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

创建者 Allen T

Dec 31, 2021

Time spent != Learning Benefit. Assignment #3 is a waste of time. Week 3 Lecture and assignment #3 were unrelated.

创建者 Diwakar S

Aug 10, 2020

teacher is good but talks way too fast. hard to follow especially data science concepts at that speed

创建者 Vishnu S K

Jun 26, 2020

The Class is too fast and not explained in an understandable manner. Programming is also very fast.