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

4.5
stars
27,116 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.

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.

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5876 - 5900 of 5,961 Reviews for Introduction to Data Science in Python

By Hossam A

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May 1, 2022

This is the worst experience ever

The instructor is speaking too fast in a monotunic, and the code he's writing is in too fast pace without caring to give the learner the time to follow up

By Dulain G

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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.

By Vasil D

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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.

By Bibek T

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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.

By SHARLIN S D o I

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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.

By Suvansh B

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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.

By Shahriar R D

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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.

By Henrique R

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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.

By Miryam E

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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.

By Caleb J

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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.

By M

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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.

By Victoria S

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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

By ILLIA S

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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

By Dheeraj a

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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.

By Wing K W

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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?

By Zain R

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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

By Azima A

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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.

By Chris M

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Mar 31, 2017

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

By Deleted A

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May 26, 2024

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

By Egbeola A

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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

By Daniel V

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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.

By Brian V S

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Nov 19, 2016

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

By rachel l

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Jun 22, 2020

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

By Daniel Z

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Nov 11, 2021

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