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

4.5
stars
24,675 ratings
5,538 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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4201 - 4225 of 5,482 Reviews for Introduction to Data Science in Python

By David S

Nov 26, 2018

solid explanation of python fundamentals. assignment instructions are sometimes unclear.

By Miriam G

May 18, 2018

A little too fast for my taste, I had to stop the videos a lot to rethink what was said.

By Chang-Kuan L

Jun 2, 2017

The course is quite challenging on weekly assignments. I learned a lot striving to pass.

By Ben R

May 10, 2020

enjoyed it and it was very challenging.Improved my python skills - more practice to go.

By mirza m h

Apr 18, 2020

good course and content but more concept should be added and should be taught in detail

By Nikhil G

Dec 30, 2019

The course material is good but the assignments are a bit tough and requires more time.

By Aditya B

Oct 7, 2019

I think the assignment checking tool needs improvement. Otherwise it's a decent course.

By Tommaso F

May 13, 2021

Very interesting. It's a little tought the assignement but you could work on it easily

By PARITOSH R

Apr 25, 2020

This course was very helpful in applied learning of powerful libraries such as pandas.

By Sikhalo N

Feb 23, 2020

This is a great course for those interested in getting started with data manipulation.

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.