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

4.5
stars
25,890 ratings
5,765 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

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.

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

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4601 - 4625 of 5,715 Reviews for Introduction to Data Science in Python

By Abhinav A

Sep 10, 2018

The pace of the course could have been a little low.

By Wang Z

Nov 6, 2017

Videos are a bit short without detailed explanation.

By Rodolfo D

Dec 17, 2020

Muy bueno y practico para comenzar en este entorno.

By Niraj P

Jun 4, 2020

Really effective in building my python programming.

By Ujwal G

Mar 22, 2019

assignmentds are much harder than d course content.

By Dale S

Jun 18, 2017

Great way to learn about Pandas, Numpy and Jupyter!

By Leen P

Apr 13, 2022

sometiemes the questions are not detailed enought!

By Lazar S

Jan 7, 2022

There are some bugs but in general a great course!

By Deep C

Nov 29, 2019

This course is advance level but very informative.

By Ali A

Jan 24, 2019

Good for people with prior programming experience.

By Rishikesh K

Jul 4, 2017

The instructions for assignments need more clarity

By YASH B

Aug 24, 2020

Content is good and the assignments are on point.

By Aditya S

Oct 25, 2019

The assignments were quite tough and challenging.

By Nandakumar P

Jan 26, 2019

Really very mush useful for all the data analyst.

By Alok S

Jul 6, 2018

Great content and explanations to novel concepts.

By luiz.cunha@axa-im.com

Mar 21, 2018

A very good course as introduction to Datascience

By Lionel C

Nov 28, 2017

Great for learning python basics for data science

By Waqar Z

Apr 7, 2017

This is the good course for learning data science

By Alluru M

Oct 10, 2020

really helped in improving skills in our carrier

By ADARSH G

Jul 26, 2020

The course should provide with some more videos.

By JAYANTH T

May 24, 2020

It is one of the best course of data science...!

By G c p

May 12, 2020

it good to understand assignment also very good.

By Ankit G

May 2, 2020

It was a great experience attending this course.

By Sahil G

Mar 26, 2020

thanks , the course will be helpful for my work

By Ardan B P

Dec 19, 2019

Good, but I think the video course is too simple