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

4.5
stars
27,057 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

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.

CB

Feb 6, 2023

The assessments, quizzes, and course coverage are quite good. The main points are covered, although it does not cover everything. Additionally, it provides opportunities to learn and conduct research.

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1201 - 1225 of 5,948 Reviews for Introduction to Data Science in Python

By Felipe D

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Mar 26, 2021

This was a greate course with lots of examples and practical experience that helped me better grasp the basics of Python and some tools

By Julie L M

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Aug 21, 2020

Best course I have ever taken. I found helpful to have several exercises to apply the knowledge before taking the exam. Congratulations

By virang

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Jul 25, 2020

The content of this course is great but is too hard for person who is not from the computer science branch due to database management

By DIANA L D G

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Jun 27, 2020

A really good introduction to Data Science in Python, assignments are challenging, you need to be self-taught but you will learn a lot.

By Caroline O

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Jan 27, 2020

While the lectures are short, the assignments are quite tough and force you into a series of extremely valuable self-teaching hours. :)

By Kesavarapu C

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May 5, 2019

I like the way the video content is playing on and providing options to the users to perform minimal coding to understand the concepts.

By Alan H

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Nov 28, 2018

As an R user, this was a great refresh on the basics of python and pandas for data analysis. Excited for the rest of the specialization

By Adolfo G

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Aug 8, 2018

This is a excellent course to work with pandas and files from several types and structures. This the first course, but you keran a lot.

By Timothy J

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Mar 19, 2018

Great teaching material, and some challenging assignments. Overall a highly enjoyable course which gives a great base for using Pandas.

By Adam K

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Mar 8, 2021

Great material, presented clearly. I especially appreciate discussions of what techniques are commonly used in real world environments

By Roi D

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Sep 5, 2020

It was an insightful and wonderful learning experience. I learned a lot and the classes are both clear, to the point, and interesting.

By TaeGyeong H

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Apr 23, 2019

assignments too hards, so it's worth it.

recommend to everyone who want to be a data scientist or learn how to work python data science

By Jesse M B

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Aug 8, 2018

In depth materials with hands-on projects using python for Data Science. I could not ask for a more comprehensive Introductory course.

By Laurentiu O N

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Apr 8, 2024

Great course to start learning Data Science with Python, you exercise step by step and implement Cool development project assignments

By Jismi K

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Sep 29, 2020

Really thanks a lot Mr Brooks,nice explanation,good assignment content..helped a lot to improve my knowledge in data science concepts

By Akash K

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Jul 26, 2020

This widens thinking perspective in pandas and improves debugging skills,overall it is good.Grader troubles in week 4,but it was ok..

By Prasad K

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Jun 8, 2020

difficulty level is good. in assignments -pls mention what steps to be achieved pointwise instead of giving only 1 problem statement.

By Johan W

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Apr 27, 2020

Brilliant content. High standard. This was my first Coursera course and I was impressed with both the platform and the course content

By kp

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Oct 3, 2017

assignments are made properly, even I(2 yr exp in python) took some time to complete!. Some directions in the assignment not clear...

By David A d A S

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May 14, 2017

Great course. I enjoyed from beginning till end. Lectures are very clear and assignments focused on based on real data. Thanks a lot.

By Bharath M

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Apr 16, 2017

One of the most useful courses to start a career in the field of Data Science. The assignment were really challenging and interesting

By Michael B

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Jan 20, 2017

Tough course if you are new to Python and do not like to browse stackoverflow. Otherwise a great course with challenging assignments.

By Sohaib F

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Aug 27, 2021

This is really good course. I really like the content and also the way of teaching. I love this course and also full specialization.

By Roshan K Y

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Dec 21, 2020

Probably, safe to say with ok level python programming knowledge, when I began this course I never thought i could learn so so much.

By Ian S

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Feb 8, 2019

I enjoyed the course immensely, and learned a great deal. The week 4 assignment is particularly satisfying to complete successfully.