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

4.5
stars
24,867 ratings
5,563 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

YY
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.

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

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4226 - 4250 of 5,508 Reviews for Introduction to Data Science in Python

By Bruno T

Oct 5, 2017

Exercises too dificult, and demands too many thing which are not learned in the course

By Partha P M

May 16, 2020

I like how efficiently described here the Pandas and Numpy library.I enjoyed it a lot

By Vishal P

Sep 11, 2019

A Good Course for Anyone with a Minimal Programming Knowledge to Start up with Python

By JIE T

Sep 20, 2018

It's really helpful. While to do the assignments ,we have to learn a lot after class.

By Sakshi J

Aug 21, 2018

Really enjoyed the course and specially the assignments enhanced my course knowledge!

By AYUSH S

Jul 25, 2018

Great course for a beginner.

Good pace of teaching.

Best at x1.50 speed.

Good exercises.

By Ketan L

May 31, 2018

Assignments are really good and you need to apply enough functionality to solve them.

By Augustine O

Aug 20, 2017

Great course, affords you the opportunity to learn and to find solutions to problems.

By Christopher L

Jul 27, 2017

great introduction to the basic building blocks behind data manipulation with pandas.

By will r

May 16, 2021

Helpful material, however the lab questions could be better written. I learned a lot

By dhruv_999

May 18, 2019

The Course is well designed for intermediates and level of assignments is also good!

By Soumyakanta S

Aug 4, 2018

Course with good contents, which is needed for advancing data analysis using python.

By Jaime M

Mar 12, 2018

Some assignments are ambiguous because the corrector is not updated...

But i like it.

By Max R

Jul 7, 2017

Moves at a good pace with clear explanation of concepts and mechanics of tools used.

By Md. M H

Oct 10, 2020

It's a nice course to learn both Python and data science. Thank you Michigan teams.

By Anurodh M

Jul 24, 2020

The assignments were little challenging and more of external learning was required.

By Stanley M

Jun 29, 2020

The instructions were too fast. The assignments were really demanding but helpful

By wwwangxinyi

Mar 29, 2020

More detail needs to be found outside of the class. But the class is still helpful.

By Moshe H

Oct 15, 2017

Very good course

Just I found that the coursework took way beyond what I catered for

By Kishaan J

Apr 16, 2017

Gave me a thorough understanding of Python and Data Science. Thanks to the team! :)

By Bidhan A

May 25, 2020

Course was good, as it gave overview of basics, but I think, more could be taught.

By Praphon K

Dec 10, 2019

Good course structure and more getting insight to apply to real case data analysis

By Akshay G

Jun 29, 2019

The course is well organized and the content is excellent. Try to keep more videos

By Bhawani P M

Mar 7, 2018

Great course to start career as a data scientist. Crisp, clear and concise course.

By Jiunjiun M

Jan 30, 2018

Homework should be better designed to provide more specification and better hints.