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

4.5
stars
26,999 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

AN

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I found this course appealing because it was more practical based.it helped me alot in getting hands on experience and most of all I have learned how to solve real world problem with python libraries

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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4101 - 4125 of 5,937 Reviews for Introduction to Data Science in Python

By Meghna A

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Jun 24, 2020

i really want to say a big thanks to the whole team who designed this course .

i have been really into learning about data structures and python and this has been a boon in disguise.

By Andrea C

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Dec 28, 2019

This course covers pretty much the basic concepts of data science, as well as some python programming.

Tests requests might might sound a bit confusing, but overall is a good course.

By Aneesh J

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Nov 1, 2018

A lot of learning through Assignments, best course for those who can work hard to learn something. Also it teaches you how to apply bottom down approach in life to learn a new thing

By Mohammed H

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Aug 2, 2017

Loads of material and can be challenging for beginners (not being smug, i am one and it was for me). Still learned a lot and would recommend if you are willing to put in the effort.

By Aratrika R

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Aug 11, 2020

The course was informative and helped me to a certain level, but I couldn't help but feel that it could have been a little more detailed. But it was still helpful and interesting.

By Sachin R G

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May 25, 2020

You must have to add key important reference in this course so that students get easily access to only those material which is really needed in this life of data science programing

By Garima M

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May 10, 2020

Course is good. But, pandas version is old in Jupyter notebook, difficulty increase exponentially and 1 question in assignment 4 has either wrong instructions or question is wrong.

By Shekhar G

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Feb 3, 2019

for testing question, if some test cases are provided i believe that could be very helpful saving time.

Otherwise course is very good especially the assignments and project.

Thanks!!

By Himal D

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Feb 15, 2018

The questions in assignment 4 can be a little more explanatory. Apart from that the course is very well structured and the assignments are excellent for learning and experimenting.

By Michael M

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Dec 20, 2021

This course has helped to shape my understanding of Data Science. I'll always recommend this course to my colleagues. Thumbs up to the facilitators and entire Coursera Team. Kudos

By Shiomar S C

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Sep 23, 2019

The course is really good the material is a little heavy and need a lot of work for the assigmentes.

Some lack of help dduring the assigments and the practice tools are not working

By Martin G

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Feb 18, 2019

Very good course. Pretty fast pace, so definitely needed to google/read a bit on the side. The exercises push you really think, though I had a some problems with the auto-grader..

By Ayush R

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Mar 30, 2018

Concepts explained are basic , and questions requires in-depth knowledge which makes practice test hard to pass.

This is my first MOOC, took me a bit longer to understand things.

By Philippe d A

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Jul 28, 2021

The course is really great and well made. But be careful, as even if it is only an introduction, it requires to have already a pretty decent knowledge of Python to go through it.

By Udesh H

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Jun 26, 2019

Learned so much in such a short time! I can't believe it. 4 weeks ago, I had no idea what pandas was. Now, I'm merging multiple data sets and cleaning them. Such a great feeling.

By Marie T

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Jun 27, 2020

Very good class, although it seems better to have good Python skills already. I am a business school student with just basics in Python, and I found the assignments a bit hard !

By RICHARD P T U

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Apr 29, 2020

Everything was fine videos and all but assingment should be made easier and next to next questions should get tougher some question were too difficult and matching to the videos

By Rodrigo G S

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Apr 12, 2020

Sirve como introducción semi completa a Python basico, uso de las funcionalidades más comunes de Pandas. Quizás dar más enfasis a otra librería como Numpy lo haría más completo.

By Bradley B

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Feb 6, 2020

Strengths: The assignments were interesting and challenging. The teaching assistant and discussion forums were helpful.

Cons: The auto-grader costs several hours to get to work.

By Gabriel H

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Oct 29, 2019

The content and assignment topics were good, however the questions were at times misleading or did not specify all conditions required for a correct answer. Perseverance is key.

By Amit S

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Mar 15, 2019

a must to do course for anyone who is entering the world of data science although i faced a bit of difficulty in assignments ,the instruction in assignments should be more clear

By Nathan R

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Jul 23, 2017

A very good course. Excellent introduction to pandas, in particular. Auto-grader could be improved, but it is great to get instant results, rather than waiting for peer grading.

By Ke C

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Feb 24, 2020

Enough programming has open answers, it will be helpful if there are some guided method to be provided after we finish each assignment to better increase our coding efficiency.

By Dylan

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Sep 11, 2019

Very thorough course with good questions and interesting assignments. Be prepared to read through pandas documentation though, or perhaps that's just my go to as a developer :)

By Tejas N

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Mar 19, 2017

I feel the videos could have been more instructive.However, the level of assignments is incredible! I learnt a lot more from programming assignments of this course than videos.