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
27,080 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.

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

Filter by:

926 - 950 of 5,951 Reviews for Introduction to Data Science in Python

By Cristóbal B

Oct 18, 2019

It is a very good course. If you are not very experienced in python it will demand you to read a lot before finishing every assignment, which is great because you learn much more.

By Imre V

Dec 3, 2018

It was absolutely awesome and challenging.

I liked the in-video questions as well as the assignments, because they give a good foundation of knowledge, but encourage self-research.

By Andrew G

Jul 31, 2017

An excellent fast on ramp into Python and especially NumPy. The usual caveat with online courses, the assignments often consume 2-3 as much time as you expect (so allow for this).

By ZEREN S Y

Dec 12, 2023

In general, it is a good course but going through assignments and figuring out what's wrong in your coding can be frustrating but I give that to being an online course of course.

By Aditya R

Aug 29, 2020

A very good course for someone who is thoroughly comfortable with Python and wishes to explore the field of Data Science. The in-video quizzes keep you on your toes at all times.

By ANAGHA K K

May 26, 2020

Good explanation by teachers.I can say without further thinking that it is the best explanation about the data science and also helped to study more about python and programming.

By 강인배

Apr 20, 2018

Although I had an experience about data science with R, it was quite course to me. Actually I hadn't felt aledged python's convenient things, but I'll keep studying this garment!

By Jorge N G

Oct 31, 2017

Very nice course. Not really for beginners since you have to struggle yourself sometimes to get to the goal. The Stuff are very active and helpful in the forums. Thanks for that!

By Siwei Y

Dec 19, 2016

这是一门很棒的课程. 尤其是他的作业. 尽管有时候作业的说明不是很清楚.

This is an excellent course , although its programming assignment needs to have somehow clearer explanation . But anyway I like this course .

By Swami V

Dec 5, 2021

Thanks to Prof.Brooks , very good lectures on regex / numpy and Pandas. Assignments are vey helpful and Thanks to Support Team who is very much helpful in resolving the issues.

By Shaily J

Jul 26, 2020

I am extremely thankful to coursera. This was a tough time for me to pay as I lost my job but coursera really helmed me throughout and it actualyy means a lot . Thankyou so much

By Saif M

May 4, 2020

The course is awesome! I could finish the course with everyone's help - reading the discussion forum and all the tips from the teaching staff especially Mr. Yusuf and Ms. Sophie

By Dan H

Nov 24, 2019

This is great, but definitely not for people with no python background. I work full-time and found the level of challenge to be exactly where I needed it to be. I learned a LOT.

By Steve M

Feb 9, 2018

An excellent overview of the fundamental skills associated with data collection and analysis. Successful completion of the course will enhance your knowledge of the Pandas API.

By Amit R V

Jan 29, 2018

I guess this is right way of learning anything - some guided/ assisted learning followed by self learning. Collaboration over stackoverflow and forum is the way forward. Kudos!!

By קרן א

Jul 6, 2017

not an easy one but very challenging. maybe you need to give more than one week to the third and fourth assignment, since those assignment requires learning and exploring alone.

By Manuel A

Aug 1, 2018

A challenging course that will teach the student how to deal with problems in Python and Pandas using documentation, rather that deliver some code snippets in a bunch of videos

By AMAN B

Jun 26, 2020

One of the toughest courses you would encounter. Honestly, worth the time and effort. Gives you idea of real world data mining tricks and applying them is what is challenging.

By Bui N D

Dec 27, 2019

The course content is great. The assignments are pretty hard and I really had to concentrate to pass. Thus someone would learn a lot through working on the assignment periods.

By Tianxiang X

Feb 16, 2019

High-quality lectures and exercises. True to an "Intermediate" course, trusts that the learner will figure thing out themselves and doesn't spent extraneous time hand-holding.

By Janice W

Jun 14, 2018

The assignment is very challenging. I need to read many extra books to get the assignment done. However, feel great to pass the assignment. You know you really learn something

By JUAN M C C

Jun 9, 2021

Muy buen curso, la practica ayuda demasiado al aprendizaje, además de que atrasándose se pude reprogramar las fechas lo cual ayuda cuando no se cuenta con mucho tiempo libre.

By Abinay B

Aug 8, 2017

Assignments are a bit hard. Week 4 is complete statistics and I didn't understand it completely.

Need more help for week 4 for students coming from not statistical background

By Huelya T

Jul 26, 2022

The course is really good organized and mostly interactive with pop-up-questions and assignments. It gave me great insights to pandas, regex, numpy, merging datframes, etc.

By Cloyd V S

Feb 20, 2022

I learned a lot and understood more on how to make models. The concepts of Data Science have proved to be very intricate as it gives me more knowledge about the tech field.