Chevron Left
Back to Introduction to Data Science in Python

Learner Reviews & Feedback for Introduction to Data Science in Python by University of Michigan

4.5
stars
26,897 ratings

About the Course

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....

Top reviews

YH

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

Filter by:

176 - 200 of 5,915 Reviews for Introduction to Data Science in Python

By Aarya P

•

Sep 16, 2020

The basic skill on how to get data from the csv files and excel files. Cleaning and manupulating and making dataframes are taught in the course. I am giving a comparitvely low score because there are multiple things i didnt like:

The professeor and the tutor in the video lectures are too boring. Straight forward they keep on taking and playing a video in which the codes are written at lightning fast speeds.

It becomes hard to keep up with learning as it goes super fast. They just keep on talking before a letting a person digest the syntax of code.

The assignments were super difficult for a beginner like me and the questions wording omgggg! The questions aren't framed well at all had to keep searching the discussion forums.

Not for the beginners course as it becomes too difficult to keep up with. Just keep searching forums in the clue of getting the syntax. Really i was not much impressed by the professor. They should definitely make it more interactive rather than super boring.

By Sercan B

•

Jul 15, 2020

Assignments should be peer-reviewed. Spent most of my time trying to figure out why my code run successfully on Jupyter Notebook but not getting any grades on Coursera Grading system. Especially the Assignment 3 was a nightmare for me. Eventough I was getting the right outputs on Jupyter Notebook I had to spent several extra days to fit my code for the Coursera Grading System. Apart from that assignments are forcing learners to get more insight in python individually, which was great for me. If you're total beginner to Python there is very high chance that you may drop the course due to assignments.

By Robert S

•

Sep 13, 2020

The course was frustrating in the occasional lack of specificity in the assignments, which led to problems with the grader. I assume that these resulted in the replacement by a new course, which unfortunately does not begin until after I had already completed this. The lectures by Prof. Brooks sometimes covered the material quickly without developing the points step by step. The lectures by the assistant were very difficult to follow. The assignments were challenging and I have a sense of accomplishment having completed them all.

By Aman J

•

May 7, 2019

Concepts could have been taught with more explanation. I prefer learning from books. On trying this video course, it seems VERY tough & so time-consuming to learn. Elaborate explanations could have been provided.

Or at least if I could say, I already knew basic Python but learned Pandas for the first time. Advanced Pandas should be explained with more videos, more steps.

I needed to replay video parts countless times because of only higher level explanation in videos

By Benjamin L

•

Jan 2, 2019

Almost every course everyone complain about assignments being hard..... but this one is EXCEPTIONALLY hard. Last question of assignment 4 is compulsory to pass the course and trust me it will bring to you trauma and pain like you have never imagined before.

Otherwise the lecturer is actually pretty good, and the other assignments are great for learning!!! I really think they overkilled it with assignment 4 though

By Pascal B

•

Jul 27, 2019

Generally, very good selection of content. The explanations are insufficient for passing the assignments tho, which means that most of the course work is self-study from the web. The buggy auto-grader sometime made the submission of the assignments quite a pain as one has to find a way to change the code in a way that still produces the right answer but doesn't blow up the auto-grader.

By Sarah A

•

Mar 1, 2021

It started out great but the more difficult assignments like week3 and week4 could use better wording and better clarification on the expected submission answers. The problems could be more well defined based on expected answers. A lot more of my time was spent troubleshooting the errors of assignment submission than what was being asked to be solved in the assignment question.

By Zhechen T

•

Sep 20, 2021

Bad :

This course sucks, all the video sound like reading pandas documentation. And I have to google the related explanation all the time.

Good:

All assignments are pretty challenging. It is a great improvement for panda skills after passing these assignments. This is a Enriching-4-week course.

These stars all for the teaching assistant, they helped me a lot on the Forum.

By Minyi Y

•

Nov 20, 2016

The content and assignments are certainly useful and relevant. However, the lectures are too short and do not help much with doing the assignment. As a beginner, I relied heavily on google and the discussion forum to get through the assignment. And I am not sure if i can actually tackle similar problems again without referring back to the pre-mentioned resources.

By Julien S

•

Sep 20, 2018

Interesting course covering the main introduction topics to Data Science, however there is a too large gap between the theoretical (videos, Jupiter notebook examples, ...) lessons provided and the knowledge required to perform the assignment. The time to do individual research to perform the assignment is tremendous. This is not an easy course at all.

By Jennifer W

•

Sep 17, 2020

I didn't feel that the lecture material corresponded to the exercises. I spent all my time just looking at Stack Overflow. The exercises are also not clearly written, such that you spend time trying to adhere to solving for the solution as opposed to learning Python fundamentals.

By stephan d l

•

Jul 10, 2023

The assignments require you to do a lot of additional searching online to find solutions to the problems given. That is what you will also do in "the real world" to resolve issues but when you pay for a course it would have been nice that the course can be used as a reference.

By Sabbir A

•

Aug 8, 2020

I learned things, yes. But I was here to try and learn what is already there in the books; I thought it would make me understand easily and in interesting ways. I was disappointed. There is no point in taking the course if it sends me back to the books. :(

By Fanyu W

•

Nov 12, 2021

I have to say this course took me much more time than I expected, because I spent too much time on understanding the programming assignments. Assignment 4 is not friendly to me, because I didn't know about sports in USA.

By ANAND S

•

Oct 30, 2020

This is a pretty tuff course and the explanations and teachings are not up to the mark while assignments are good. To complete the course you have to take the help of youtube and web to fully understand the concept.

By Claude P

•

Jul 3, 2021

More concise coding tutorials and less "search on your own on the internet" needed. It is great to get to know the online community and the course needs more coding example directly relat to exams.

By Tom M

•

Dec 29, 2018

A lot of self directed learning, bordering on excessive. Sometimes it takes some investigation to figure out why the autograder did not pass you. Overall, I felt I learned a lot, much on my own.

By Pamela T

•

Feb 2, 2019

This is a great overview for python, but the materials/videos/slides are very elementary compared to the sophistication of the homework. Required many more hours than the estimates.

By Saadman S

•

Sep 16, 2020

Statistical stuffs are really tough, it's hard to understand without any background also the assignment materials should be discussed more, they should be included in the course.

By Alice C

•

Dec 20, 2020

Recent changes to the course made it a lot worse! Longer, less concise videos, difficult to find course notes, fewer mid-video working problems, and quizzes are pointless.

By Bárbara C G

•

Feb 2, 2021

The videos are ok. The assignments are extremelly centered in data cleansing. The debate in forums is very helpful, and the course staff answers regularly.

By Ryan V

•

Feb 10, 2021

Interesting material, poor instruction and not enough practice for things to sink in. Have to basically teach yourself everything through google searches.

By Colleen K

•

Sep 21, 2018

I learned a lot by doing assignments, but the course materials are not helpful. Stackflow and Python documents guide me much more than the course itself.

By Mohammed A H

•

Sep 26, 2020

During the course, the instructor was presenting with a background contains moving people which caused a big distraction to me.

By Sudharshan C

•

Oct 28, 2020

The assignments can be better structured. I found it tough to navigate and perform operations