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

4.5
stars
27,134 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

CB

Feb 7, 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.

HC

May 4, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

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4726 - 4750 of 5,967 Reviews for Introduction to Data Science in Python

By V V

Apr 1, 2017

hard assignments, lecture was not enough to cover assignments.

By Machine L T

Jan 17, 2022

Las asignaciones duraron mucho más de las 3 horas estipuladas

By Zifeng Q

Nov 13, 2021

Overall good.

Assignment wording could have been more precise.

By Anas A

Jun 20, 2020

Really good course. Just gotta dig up stuff on your own alot.

By Christopher J

Jun 19, 2020

Excellent course, though the interpreter needs to be updated.

By Shivang S

May 4, 2020

Very difficult for those who are new to this numpy or pandas

By Sahil S

Feb 2, 2020

satisfactory,

although last week lectures need to be improved.

By Kartik K

Aug 2, 2019

Bit difficult for one who is not from programming background.

By David B

Sep 16, 2018

Interesting exercise if you're willing to trawl StackOverflow

By Rakesh K M

Oct 2, 2024

The experience was unique and quite fun to be honest,really.

By PRAKASH S

May 2, 2020

There is a lot of scope for the improvment of vedio lessons.

By Nasir H

Jan 7, 2020

The content was high level and good. You should explain more

By Hannah

Sep 1, 2019

Good courses and exercices but difficult to submit sometimes

By Andreas B

Dec 27, 2018

Great course. Tasks being not precise is sometimes annoying.

By Snehasish S

May 12, 2018

Course videos should be more and in detail for each concept.

By Manuel T

Jan 8, 2018

Quizzes do not match videos. Anyway, great course all in all

By Aaron W

Sep 29, 2020

Very good introduction. Assignments were really difficult.

By Karan S

May 14, 2020

Was quite condensed and not explained fully in some places.

By Dhruv S

May 5, 2020

Assignment 3 is very ill-planned rest of the Course is good

By Onur D

Jun 2, 2019

Great content, just some parts need a bit more explanation.

By Рычков А В

Apr 17, 2019

Последнее задание, требует подгонки данных? Очень странно..

By SUDHANSHU Y

Mar 11, 2019

This course is best to start in Data Science for beginners.

By Purusharth A

Mar 12, 2018

Very effective course to start with Data Science in Pyhton.

By ANGEL A L B

Jul 31, 2017

It has its problems, but it's a great start to Data Science

By bret r

Dec 4, 2016

Good content - some prior knowledge of pandas is important.