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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

SI

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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 .

PS

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Very good course assignments and projects. Really learnt good by exploring stackoverflow and other forums to complete the assignments. Please include some detailed lectures in the upcoming modules.

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2351 - 2375 of 5,937 Reviews for Introduction to Data Science in Python

By JAYANTH S V

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May 17, 2020

I really liked the assignments for this course.

By BrighterWay

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Oct 28, 2019

The quality of lectures and content is awesome.

By Tzu-Yi Y

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Aug 19, 2019

learn lots of pandas tips from the assignments!

By Md S F

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Apr 30, 2019

this course would be very useful for my career.

By Bowen L

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Jan 19, 2019

I think this course has been very helpful to me

By Jyothi P

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Sep 25, 2018

A really good course on Data science with right

By Aayushi A

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Sep 5, 2018

Assignments are very good as compared to videos

By ALOK R G

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Feb 20, 2018

nice and interesting course on pandas and numpy

By hyunwoo j

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Jan 31, 2018

collaboration with jupyter notebook is awesome!

By Cristián B R

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Dec 17, 2017

It was really challenging so I enjoyed it a lot

By Kehinde O

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Oct 13, 2017

Great course to begin your data science career.

By Marat Z

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Aug 17, 2017

Awesome course, not very easy, but very useful.

By jinil c

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May 29, 2017

Good. I learned lots of things from this course

By Muhammad A

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May 2, 2017

the course is really precise and explained well

By Sebastian G

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Jan 27, 2017

Advanced Python! It was hard, but I enjoyed it!

By Hsuan-yu W

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Sep 21, 2021

easy to follow with a lot practice questions!!

By NITISH K

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Sep 15, 2021

it's very useful for me. i m learned very well

By Vladimir K

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Sep 8, 2021

Excellent course with challenging assignments.

By hemal n

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May 20, 2021

i have gained so many skills from this course.

By Fabiola U P

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Feb 2, 2021

Aprendí mucho, muy buenas las tareas! Gracias!

By Alfonso J F T

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Sep 25, 2020

Excelente curso. Adquirí muchos conocimientos.

By Benjamin B

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Aug 27, 2020

A great starting point for Pandas with Python.

By Mohammed A Z

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Jul 16, 2020

Course and Study materials are really helpful.

By Manish M

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Jun 30, 2020

Good Explanation with detail Course Structure

By Rahul R

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Jun 28, 2020

This is the best platform to learn new things.