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

4.5
stars
22,127 ratings
4,965 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 10, 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 16, 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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3801 - 3825 of 4,897 Reviews for Introduction to Data Science in Python

By Iván C S R

Oct 09, 2018

Good course to start understanding the usage of Pandas in Data Science

By Pragya A

Aug 06, 2018

good...but it could be more detailed..in order to better explaination.

By 倪睿阳

Jul 01, 2018

Helped me acquaint with Python and Basic Data manipulating techniques!

By Jarrett C

Nov 20, 2016

This course is a challenging (and solid) introduction to using python.

By Debasish C

Jun 14, 2020

This course is very helpful to the introduction of data science world

By Shiv K K

Dec 28, 2017

Was extremely difficult to get the responses to all the assignments!!

By Ishita A

Apr 24, 2020

A little difficult for a beginner to follow but the course was good.

By Jagrut N S

Jan 18, 2020

It's really highly detailed and very good course for Data Scientist.

By M U A

Apr 07, 2019

brilliantly maintained and organized courses , but not for beginners

By Deleted A

Jun 27, 2018

A good python intro to familiarize with basic data science packages.

By Kartik S

Jun 06, 2018

Outstanding course to get a kick start in the field of Data Science.

By Chinmay P

Dec 23, 2017

Was a good course that touched up most of the basic python concepts.

By Chakshu G

Jan 18, 2017

Finding optimal solutions for the assignments would have helped more

By yotam h

Mar 22, 2020

great course! highly recommended if you like struggling by yourself

By nitin R

Mar 19, 2020

Course content is really good but can be explained in a better way.

By Vishen M

Oct 19, 2017

Really enjoyed. Assignments take a lot of time, but you learn alot.

By Ariana S C

Aug 17, 2017

Assignments need to provide better feedback when there is an error

By Vignesh R

Aug 08, 2017

Assignments are really good.Video Tutorials could have been better.

By Ioannis A

Dec 29, 2016

Nice lecture. Needs to have more videos and more advanced tutorials

By Naymur R

Jul 14, 2020

The Course Syllabus was too much good and better lecture quality .

By Veeresh I

Apr 01, 2020

Good course to learn the basic concepts to start with Data Science

By Sean L

Oct 18, 2019

Learned a lot, but mostly by self-learning when doing assignments.

By Yufei H

May 14, 2019

Chapter 2 and 3 are good for me, the rest chapters are too simple.

By Ashley R

Nov 20, 2018

some questions were vague but i guess thats part of the real world

By Aliyu A

Sep 12, 2017

A very good course. recommended for a intermediate data scientists