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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

SI

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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 .

NF

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I thought this was course was good, and was fairly challenging for an online-only course. I thought the lectures could have been a little longer to ensure proper coverage of materials and functions.

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1151 - 1175 of 5,936 Reviews for Introduction to Data Science in Python

By Mahima D

Jun 30, 2020

The teaching part and the assignments complemented each other so well to teach students and make them confident to take up real-life projects!

By Ahmet A Ö

Jul 28, 2019

Perfect Course. I never thought you can learn that much by studying 6-7 hours a week. Almost it is zero to hero. Thanks University of Michigan

By Tan S C

Mar 9, 2019

Equip learner with basic knowledge in manipulating data. Assignment allow learner to explore more in-depth then the learner learnt thru video

By Maksat N

Mar 23, 2018

Nice course. Little, minimal, with the most important aspects covered. I liked the assignments, and that it required more individual learning.

By Hagen T

Sep 19, 2017

The course gives a good introduction to the python pandas library, with assignments that challenge enough to give a solid learning experience.

By David L

Aug 27, 2021

Loved the course! For me as an absolut beginner with python ist was tough and took long, long time - but it was great fun an I learnt a lot!

By Raushan K

Aug 22, 2021

Learnt a lot new things and this was really advanced level course. enjoyed a lot. Assignments and quiz are impressive. Thanks for this course

By Stefan G

Apr 15, 2021

Solid introduction to Data Science in Python. I.e. this is not an introduction to Data Science but an introduction to how to do it in Python.

By Еремин Н О

Dec 22, 2020

Thanks to University of Michigan for good lessons and explainations of hard things! Hope it will help to find a job in Data Analysis/Science.

By Srijanak D

Jun 14, 2020

Excellent course. Perfect balance between coding and code explanation. Best course to get your hands on coding experience with data learning.

By NUPUR F

May 23, 2020

I am very satisfied with the course. The assignments encourage you to explore more about the functions in Pandas and help in better practice.

By Sumit S

Apr 30, 2017

Its a very good course to start learning for data analysis which can work as a foundation to learn more in data science and machine learning.

By Andrés S

Jan 8, 2021

A great course to get into data science as a beginner and learn the fundamentals in data structures with python (pandas). Highly recommended

By Loukas K

Dec 29, 2020

Amazing course. It is all about applying what you learn. Theory is kept short but programming assigments really make you give your best self

By Mackie Z

Aug 8, 2020

The videos are usually much easier than the assignments. Require tons of self learning to pass the assignments. Challenging but interesting!

By Victor V d A

Sep 17, 2018

I am really loving it, a great introduction course with a lot of practicle examples. I am looking foward to the reset of the specialization.

By Brad S

Jan 5, 2018

Quite a fast paced course, would be good to have some background knowledge of Python and statistics but not essential. Tough but achievable.

By XIN Z

Jul 15, 2017

This course uses data from real-life examples. Although it is painful to clean the data, it does show you the true color of this kind works.

By Sean B

Dec 20, 2016

I really enjoyed this course. I found the instructor very good and the assignments were fun. I was pleasantly surprised by the whole course.

By Shaik M R

Jun 9, 2020

i have leant a lot from this course and i revised my python also and get sum knowledge of pandas and many in this course thank you coursera

By 肖颖姝

Mar 22, 2020

it's really great! I've learned alot~ (btw: it realy have some difficult to pass the assignment, if u don't looking to the forum for help )

By Halil K

May 22, 2018

This is a very challenging course for newbies in python. But forces you to learn a lot in a very short amount of time. Highly recommend it!

By Aleksandr K

Apr 8, 2018

Лучший курс в котором можно почерпнуть основы Numpy и Pandas для анализа данных и использования в разработке связанной с машинным обучением

By kalicharan k

Sep 11, 2017

Cover lot of details quickly, but the assignments is tough and it ensures that you understand the concepts covered in the class and beyond.

By CBO

Apr 30, 2017

Very dense, well taught, examples and assignments help in the learning process, I've done many, many Coursera courses, this one in the Top5