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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 .

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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1801 - 1825 of 5,937 Reviews for Introduction to Data Science in Python

By TECHticks

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Dec 24, 2020

This is a great course this helped me built my understanding about pandas clear

By إبراهيم ش

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Nov 2, 2020

Too much hard course For beginner its need full familiar with python and pandas

By Riki A

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Oct 19, 2020

A comprehensive course. Challenging Assignments. High-quality Course Materials.

By SAFVAN M S P

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Jul 13, 2020

Amazing course, all concepts clearly explained. The course is very interesting.

By Camilo R B

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Jun 23, 2020

I really liked this course, but some parts kicked my butt, specially at the end

By Steve H

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Apr 27, 2020

coding was tough to get through the autograder but in the end I was victorious.

By Vincenzo T

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Apr 3, 2019

Hard but very rewarding! The second part will show you how much you've learned.

By Xiaoming Z

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Dec 30, 2018

Assignments take lots of effort to finish, but it's a good learning experience.

By Greg D

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Nov 15, 2018

Superbly presented lectures. Exactly the pandas introduction I was looking for.

By RAGUVARAN S

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Aug 25, 2018

Simply superb.Great platform to knowledge seekers..Thanks a lot.I owe u a lot..

By shankargoud h

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Dec 12, 2017

All the topics are well framed and handpicked for beginners.

Thank you coursera.

By David S

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Dec 4, 2017

It is a deep introduction, really nice to be used as a reference in DS projects

By Abhijeet B

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Jan 22, 2017

The instructor was great . The assignments were good and helped me learn a lot.

By Bhagyashri S

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Oct 20, 2021

NICE COURSE. A LITTLE BIT DIFFICULT CODING KNOWLEDGE IS NEEDED FOR ASSIGNMENTS

By Bhavesh B

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Mar 12, 2021

The faculty teaching this is excellent. All the concepts were crisp and clear.

By Gianluca B

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Feb 6, 2021

muito didatico, mas poderia ter um pouco mais de regex e tratamento de strings

By Nishant

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Jun 1, 2020

The study material of this course is well organised and thanks to lecturer ..

By Md. A I

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May 6, 2020

I would give 4.5. one of the best course in coursera. the trainer was awesome.

By Alex C

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Feb 12, 2020

A lot of information and definitely need more than 4 week(6-8h) to accomplish.

By Aravind G

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Oct 11, 2019

Its very good cousrea , I have done in coursera and it cleared all my concepts

By Akarsha S

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Aug 18, 2019

Very Interesting course , and really beneficial for people new to Data Science

By Raunak S

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Jun 9, 2019

create more courses as such and allow unprivileged individuals access to them.

By Prashant M

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Apr 27, 2019

Requires a lot of home work , but good learning <3, thank you for the guidance

By Carlos B

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Jul 17, 2017

At the moment, a very interesting experience. It seems very similar to Matlab.

By Sikko P v ' K

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Jan 22, 2017

very practical and efficient - high useful skills gained per time spent ratio!