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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

YH

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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.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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4626 - 4650 of 5,940 Reviews for Introduction to Data Science in Python

By Andrey Z

Feb 5, 2022

Interesting course, with interesting practice assigments, i like them!

By ADITYA T

Jul 4, 2020

Better teacher required.Language is very much technical,not simplified.

By Aditi T

Apr 22, 2020

need to give more examples on specific topics for better understanding.

By QI S

Nov 25, 2018

learn a lot, but the questions are so tough, i uses much time to do it.

By Akshay

Feb 8, 2017

Course is good. I learned a lot. But the pace of teaching is very fast.

By Martin C

Nov 28, 2021

Interesting, but I wish we could have the teacher's code for my notes

By Mohamed E

May 1, 2021

great course for who want to take the first step in data science field

By Divya P

Jan 26, 2021

Thanks, University of Michigan and Coursera for providing this course.

By Deepak G

May 31, 2020

Well, the course is good if you are going for complete specialization.

By HARINI N 1

May 9, 2020

This course was very useful, it helped me understand python in detail.

By Antoine W

Feb 15, 2020

Learned a lot, but you constantly have to fight against the autograder

By Rajib M

Oct 9, 2019

Course content is good but the explanations need to be more elaborate.

By Sushma R

Sep 24, 2019

Feel too difficult to finish the tasks as they are little complicated.

By syed h

Jul 24, 2019

Good Course but need to improve in conceptual explanations and visuals

By carl w

Jan 14, 2019

I like the use of the Jupyter notebook. Don't have to wait for grades.

By Iván C S R

Oct 9, 2018

Good course to start understanding the usage of Pandas in Data Science

By Pragya A

Aug 6, 2018

good...but it could be more detailed..in order to better explaination.

By 倪睿阳

Jul 1, 2018

Helped me acquaint with Python and Basic Data manipulating techniques!

By Jarrett C

Nov 20, 2016

This course is a challenging (and solid) introduction to using python.

By Guilherme M S F

Sep 28, 2021

The only thing I suggest is to change the assigments to be more easy

By Debasish C

Jun 14, 2020

This course is very helpful to the introduction of data science world

By Sirisha P

Dec 28, 2017

Was extremely difficult to get the responses to all the assignments!!

By Ishita A

Apr 23, 2020

A little difficult for a beginner to follow but the course was good.

By Jagrut N S

Jan 18, 2020

It's really highly detailed and very good course for Data Scientist.

By Usman A

Apr 7, 2019

brilliantly maintained and organized courses , but not for beginners