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

4.5
stars
24,558 ratings
5,516 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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4351 - 4375 of 5,460 Reviews for Introduction to Data Science in Python

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 PRAKASH S

May 1, 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 3, 2016

Good content - some prior knowledge of pandas is important.

By Sanjay S

Aug 6, 2020

This was a good course. I recommend it. I learned a lot.

By Abir H R

May 10, 2020

videos should be a more informative and Very hard exercise

By Haoyu X

May 3, 2020

good but the online notebook version is a little bit older

By Mike B

Oct 11, 2017

Good, basic introduction to basics of the Python language.

By Ho Y C

Jun 12, 2017

The exercises are good for thinking and learning of python

By David A D A

Sep 4, 2020

It was a little hard for me but i learned a lot.Thank you

By NIMIT T

May 26, 2020

it was great to learn this whole experiance is amazing: )

By Harshit Y

May 10, 2020

Assignment level is quite high as compared to content tau