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

4.5
stars
26,546 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

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.

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

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5326 - 5350 of 5,821 Reviews for Introduction to Data Science in Python

By Zhibo Y

Sep 13, 2021

assignment (especially assignment 4) are toooooo difficult for an introduction class!!!

By STEVEN V D

Nov 13, 2017

Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.

By Surya G

Aug 24, 2020

Great course but not for beginners and also i felt the lectures were short and rushed

By Subhajit B

May 18, 2020

It was too fast paced and I had to a lot of homework myself after the video lectures.

By Saul S

Dec 27, 2019

Could have been far better thought out, and the content is not particularly engaging.

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 Peter K

Jan 15, 2023

Great course, but some virtual environment issues made it difficult to complete.

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 Ignacio Y M

Feb 6, 2022

Ejercicios demasiado elaborados y complejos, requirere mucho tiempo de trabajo.

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 Sid 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.