Chevron Left
返回到 Introduction to Data Science in Python

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

25,938 个评分


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....



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


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.


5426 - Introduction to Data Science in Python 的 5450 个评论(共 5,725 个)

创建者 Lionel V H

Jan 11, 2017

Videos are fast-paced, material is limited (no real slides or extensive doc). Exercises are sometimes not clear in their statement. Activity on the forum compensates that. Exercises are however close to challenges you face in real life. Finally, the start date was delayed and there is no clear visibility on when the other modules are started. So, the course could be better given, provide more material and be better coordinated. I followed one Python course at Rice University which was by far better given.

创建者 Muru Z

Nov 1, 2019

Pretty bad experience, this course let me feel like listening a people read a book. Professor just simply go through the material with relatively high speed, the connection between each part is unorganized, the graduate student even goes through the material with higher speed. Assignment sometimes confusing and autograder add even more barriers on my path. Assistance answer question quickly in discussion form which I'm appreciating, however, can't compensate for the disappointed quality of the course.

创建者 Wahid C

Jan 29, 2017

The course lectures were subpar and didn't cover the material in the assignments. Googling for answers and checking stackoverflow for code is a great way to get tips, but it doesn't teach you the core material. I would have rather had links to supplemental readings that the materials were based on. I would not recommend this course as an introduction course unless you've had significant experience with Python data structures and know how to work with lists, dataframes, and iterate over those.

创建者 Martí S L

Mar 30, 2017

Really disappointed with this course to the point I'm quiting -in spite of having paid for the grade-. It reminded me of my days at the university where I found being a great scientist/engineer didn't mean you were a great teacher. And this is the real problem, even things that should be easy to grasp are difficult to understand -just the opposite of prof. Bill Boyd who makes learning a joy-. Because of this I would only recommend this course if you already have an intermediate level in Python.

创建者 Josselin G

Sep 13, 2019

The professors are very clear and the speed if good enough so that if you have a computer science degree you won't get too bored.

But, ohhhh my good the grading is terribly frustrating. If you've left uni and spend more than a couple of months in the corporate world you will find it terribly frustrating. You had to fiddle around for hours around data format and some other potential issues.

For interesting python problem with a nice layout and helpfull solutions, discovery go to

创建者 Martynas V

May 3, 2020

This course was extremey hard. The pacing was fast, it seemed like the instructor wanted to end the lecture as fast as possible, I had to rewatch a 5-7 min video three times with frequent pausing to just get the idea of what is going on. The assignments were really hard, especially final questions. I would suggest making longer lectures with slower pacing taht would cover all the material you need. I have just finished this course and feel frustrated instead of motivated to learn more.

创建者 Schmidt, L

Jan 22, 2019

i really liked the lectures and i learned a lot of new stuff but the autograder was very annoying to me. i spend hours on transferring my answers to the correct format. There were no templates or good describtions for the right format provided so you had to read through the forum and talk to the stuff alot to figure it out. This time (many many hours for me) had absolutely no learning-input and it was very very annoying. I doupted many times if i would finish the course...

创建者 Henning L

Jan 12, 2017

I felt like the test-candidate for a new course. While the course-work and the presentations itsself were excellent, the "homework" was a real pain as very often the Auto-grader didn't work and it took me hours to get a project which was correct, to be accepted as the right solution. Cannot recommend it to be honest unless they improve their systems. Also it was said that the other course specialization start soon but it seems they don't and I paid for the full package....

创建者 Abid-Ul K

May 7, 2020

The course assignment was very hard—maximum time I didn't have any clue what I was supposed to do. The course instructor was not up to my expectation. I didn't understand what he was trying to teach me. The pandas version in this course was ancient, which Showed exception most of the time with the functions. I wouldn't suggest anyone take this course if really wants to learn anything. For a newbie like me in Python, I had to go back and forth to Stackoverflow now and then.

创建者 Omar M

Mar 29, 2020

I couldn't get through the class. The problem sets bore no relation to the lectures. I understand that the point of that is so that you teach yourself, which is more "real world" but in this type of work there are multiple ways to solve a problem, and if we never see the right (optimal) answer, then it's very possible that what we came up with on our own is a super inefficient way to do it. I think the course needs to get the lectures a little closer to the problem sets.

创建者 Sarah G

Aug 2, 2019

The videos were fast, but informative. The exercises were nothing like the videos, I had to accomplish several hours of self taught learning. If the certification did not look good on a resume or linkedin profile, I could've accomplished the same outcome with just hours of reading stack overflow, watching youtube videos, and skyping with other students in my masters cohort. Would like to see the exercises in the same realm of difficulty as the tutorials.

创建者 D R

Dec 9, 2016

The lectures and explanations need more clarity and better instruction quality. The assignment questions were often nebulous. This resulted in lots of time wasted with the grader. The discussion forums were the best part of this class. I'd encourage the course instructors to take a look at the University of Washington's Machine Learning class. Stylistically, pedagogically and content-wise - that's a much, much better Data Science class.

创建者 woody

May 6, 2020

The pace is far too fast. I can't see anyone managing with this unless they are already somewhat familiar with the content. Assignments and quizzes are extremely difficult. When learning it is nice to have at least some easier questions that allow you to practice implementing what has just been covered. In this course it felt like all questions required you to link together all aspects of what had been covered so far in complex ways.

创建者 Michael S

Apr 27, 2020

The auto-grader in this class SUCKS. It runs an outdated version of Pandas from 2016. Some of the lecture content also includes deprecated functions. The course content and auto-grader both need to be updated to comply with Pandas v1.0.x. It is EXTREMELY frustrating to spend hours getting code to run properly on my machine, only to upload it to the course site and have the auto-grader tell me it's incorrect or unexecutable.

创建者 Khalid U

Jul 20, 2018

It does not matter if you have intermediate python level of experience. You should not go through the material so fast and not explain properly what the specific code does. I understand that we should seek outside resources if we don't understand something but thats not an excuse for providing fast answers to what a code does and not provide explanations to specific code. All I saw in this introduction was fast typing lol.

创建者 Neelkanth S M

May 26, 2020

The course content, which includes tutorials and assignments, is exception for beginners to hone their skills in python data science stack (numpy, pandas and matplotlib).

However, the automated grading process, I find, is ambiguous. Here's why:

First, we are not provided with a snapshot of expected output.

Second, the feedback doesn't support debugging; as a result, test taker will make clueless trial & error attempts

创建者 Kertész J

Sep 10, 2017

I have previous programming experience, sill I find the course is very challenging for the following reasons:

- course videos are very short (40mins per week), partly related to the required assignments, not covering all topics

- you need to spend most of your time (for me 10-15 hours per week) googling and reading Stackoverflow, and you might pick up a solution which is not appropiate for your current issue

创建者 Ted H

Jan 8, 2017

The assignments were tough and they really tested your knowledge of python. That being said, the lectures were absolutely useless. I spent 90% of my time trying to figure out python through stack overflow. The jupyter platform is also very frustrating. For whatever reason, error messages kept coming up as I was trying to complete the assignments. At one point, I lost all my work because of this error.

创建者 Muhammad H

Jun 3, 2018

Lectures aren't helpful. Assignments are challenging which is great but there is a difference between challenging students to make them learn more or to challenge them to such extent without providing enough resources that they go weary of the material. It is important to understand that students take courses generally to learn new material, not to revise what they have already learned or forgotten.

创建者 Stephen F

Jul 24, 2017

The content is really good, but their explanation of the topics is insanely terse; by both the professor and his graduate student. I had such high hopes for this class. I am personally able to follow the content because I have experience using pandas and only using this class as a easy way to fill gaps in my knowledge, but to the uninitiated their coverage would confuse a otherwise simple tool.

创建者 K G P

Apr 12, 2020

The course is quite tough and is not really beginner friendly to someone who is seeking to start learning about python or data science. It's just that it is on another level. Hard to grasp onto the concepts. The assignments also are very difficult for a beginner. All in all I don't mean to be negative but this really isn't an introduction to data science course, it is on a very advanced level.

创建者 Olatunde T

Aug 28, 2020

This course was highly challenging and took quite a lot of time and efforts to complete! The concepts were hurriedly and not properly taught and I think this need be addressed. The assignments were also too complex for an introductory course and require a lot of personal reading and searching to complete. Would recommend at least a basics in Python programming to register for this course!

创建者 Anil P

Nov 7, 2019

I really strugled with the course; especially assignment.

There is a lot of talking and little time is spend on how the code is working. I feel anyone who is already a programmer in another language might be finding it easy follow the chapters.

I was very difficult to complete the assignments - Most of the time it felt totally outside of what has been discussed till then. (Out of syllabus)

创建者 李玉鹏

Apr 29, 2018

This course is too easy for me. But if you are a beginner you will find it difficult.

I download all the materials and try my best to complete all the assignment without watching the final part and submit them at almost the same time cause I find it joyful.

To be honest, read the book entitled Python For Data Analysis 2nd may be a better choice instead of watching these tuition videos.

创建者 cheting c

Mar 2, 2018

Very unresponsible professor. No passion at all!!!!! Did not explain the fundamental concept well. As a result, I do not think I have a deep understangin at all. I spend most my time google in order to finish my assignments.

I give him the second star only because I the way he designed those challenging assignments. He should include some skill needed to finish the assignments.