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

4.5
stars
24,714 ratings
5,543 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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5051 - 5075 of 5,488 Reviews for Introduction to Data Science in Python

By Vignesh M

Jul 10, 2020

The assesment part is too difficult compared to concepts explained in the lectrues.

By Gunjan C

Jun 18, 2017

A very good course, but found it a bit monotonous. Assignments were good (and tough)

By Ting W

Sep 18, 2019

Contents of the class are limited, more details and examples will be more helpful.

By pranay b n

Mar 28, 2019

Nice course but just by referring to videos answering the assignments is difficult

By Rahul N

Mar 21, 2020

Good Course, but felt that the instructor goes too fast on some difficult topics.

By Zebbe R

Jul 25, 2021

bon cours complet mais on est laissé trop en autonomie pour les devoirs à rendre

By Seyed S F

Oct 6, 2020

Thank you all. I think Coursera's platform is a little confusing for this course

By Joachim S

Jun 21, 2020

Technical issues in the assignments makes the course harder than it needs to be.

By Peter D

Apr 2, 2018

The course assignments were very tough for me, much harder than I anticipated...

By keith h

Apr 29, 2017

a decent introduction into the world of python dataframes via the pandas library

By Oswaldo C

Jun 29, 2020

You have to make a lot of research on pandas documentation to do the assigments

By Mr Q

Jun 27, 2020

Typical school concept. Lessons level 1, quizzes level 3, assignments level 50.

By Siddhant A J

Aug 18, 2019

Bit faster than expected, should have disclaimer to learn pandas basics first.

By ti t h

Oct 27, 2018

Auto grader needs to give more feedback. Too many things to learn by yourself

By Anil K N

Jun 22, 2019

There should have been more quizzing assignments rather than the coding ones

By ANANYA J

Jun 29, 2020

in starting course is good but at the end it will become boring and lengthy

By Thiago J M M

Apr 21, 2020

Os exercícios estão em nível absurdamente complicados emm relação as aulas!

By Thomas G

Sep 25, 2019

It's really informative, but there is too little instruction in my opinion.

By Jens R

Nov 28, 2018

In my point of view, the lectures and the assignments are not well matched.

By Jai L 1

Apr 13, 2020

Tutotial videos of jupyter are very fast and need much time to understand.

By Srikanth G

Nov 10, 2019

It would be nice if we have more explanation for questions in Assignments.

By Shiva K

Jul 23, 2020

Very fast explanation and coding is also very fast and hard to understand

By Wong L C

Nov 14, 2018

Overall is good but the contents seem to be a bit difficult and too rush.

By Premjith B

Nov 21, 2016

The assignments were good but it was a lot of time spent with the grader.

By Eric L

Mar 20, 2021

submitting the assignments with the autograding is extremely frustrating