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

4.5
stars
24,558 ratings
5,516 reviews

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

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

SI
Mar 15, 2018

overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .

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4276 - 4300 of 5,466 Reviews for Introduction to Data Science in Python

By Dhara A

Jul 20, 2019

it is really nice course which gives you complete basic of data analysis

By Deleted A

Mar 6, 2019

could have explained Hypothesis testing in better way with good examples

By AKI

Jan 30, 2018

great course!but some assignments lack of clear instruction or mistakes.

By Carolina F A

Oct 27, 2017

The course is pretty good. However, the tasks are no easy to understand.

By Mikhail

Apr 5, 2017

Sometimes need more words in tasks, so it can help understand it better.

By ADITYA T

Jul 4, 2020

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

By TECOA167_Aditi T

Apr 23, 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 M

Feb 8, 2017

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

By Mohamed E A H

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

May 9, 2020

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

By Antoine W

Feb 16, 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 Debasish C

Jun 14, 2020

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

By Shiv K K

Dec 28, 2017

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

By Ishita A

Apr 24, 2020

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