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

4.5
stars
26,999 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

YH

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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.

PB

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It is a great course to get started in the field of data science. It just require basic knowledge of python. This course teaches you basics of numpy and pandas and how to apply them in data science

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4651 - 4675 of 5,940 Reviews for Introduction to Data Science in Python

By Deleted A

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Jun 27, 2018

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

By Kartik S

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Jun 6, 2018

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

By Chinmay P

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Dec 22, 2017

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

By CHAKSHU G

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Jan 18, 2017

Finding optimal solutions for the assignments would have helped more

By Laura V T T

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May 16, 2021

Great introductory course, easy to follow and challenging exercises

By XIAOYING W

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Feb 2, 2021

I think some feedback on assignments would be helpful for progress.

By yotam h

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Mar 22, 2020

great course! highly recommended if you like struggling by yourself

By nitin R

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Mar 19, 2020

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

By Vishen M

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Oct 18, 2017

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

By Ariana C

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Aug 17, 2017

Assignments need to provide better feedback when there is an error

By Vignesh R

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Aug 7, 2017

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

By Avraam I

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Dec 29, 2016

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

By Naymur R

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Jul 14, 2020

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

By Veeresh I

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Mar 31, 2020

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

By Sean L

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Oct 17, 2019

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

By Yufei H

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May 14, 2019

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

By Ashley R

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Nov 20, 2018

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

By Aliyu A

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Sep 11, 2017

A very good course. recommended for a intermediate data scientists

By aaron_lang

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Jul 27, 2017

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

By Elana A

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Mar 22, 2017

Great course and valuable information, but frustrating autograder.

By Maria C P Z

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May 30, 2023

The assigments where really hard according to the topics thought.

By soham v s

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Nov 3, 2021

it is good course for beginers , jupiter notebook is also a good.

By RUBY P

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Aug 2, 2021

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

By Akanksha M

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Jun 24, 2021

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

By Sangram K S

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Jul 13, 2020

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