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

4.5
stars
24,697 ratings
5,539 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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4326 - 4350 of 5,487 Reviews for Introduction to Data Science in Python

By nitin R

Mar 19, 2020

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

By Vishen M

Oct 18, 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 8, 2017

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

By Giannis 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

Mar 31, 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

By aaron_lang

Jul 27, 2017

Overall, the course is pretty good in terms of practice questions.

By Elana A

Mar 22, 2017

Great course and valuable information, but frustrating autograder.

By RUBY P

Aug 2, 2021

It is a good course to attend and start your data science journey

By AKANKSHA M

Jun 24, 2021

it was a nice course helped me understand more about data science

By Sangram K S

Jul 13, 2020

It was good. The session can be more interactive and interesting.

By Gian C T G

Jun 25, 2020

Need more excersices examples, some homeworks are quite difficult

By Subha M

May 31, 2020

The course was good. But few points were not that up to the mark.

By Anil K C

May 6, 2020

Good assignments to get you to learn the Pandas library in python

By Sadia a S

Mar 21, 2020

It is a helpful course for working with python for data analysis.

By Roy Y

Jul 17, 2019

A great introduction. But assignment grading a little bit tricky.

By hadeer a

Jul 15, 2018

The course was helpful, but the assignments weren't clear at all.

By Ahmed E B

Jan 27, 2018

It is a challenging course specially for beginners and assignment

By Dhruba s R C

Aug 17, 2017

A very detailed course. A must do for Data Science enthusiasts...

By Partha S

Jan 23, 2021

Its not an easy course and requires a lot of focus and attention