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

4.5
stars
27,081 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

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.

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

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1301 - 1325 of 5,951 Reviews for Introduction to Data Science in Python

By Shanshan C

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Jan 27, 2018

Assignments are well-crafted. It still requires a lot of self-learning to complete the course. Course forum is very helpful.

By Jorge M

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Nov 23, 2017

Awesome course! I really learned a lot! This is a very effective way to give a first step towards Data Analysis with Python!

By Whiteout

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Aug 14, 2017

The assignments do not have clear definition and guildlines. It is very hard to see what's getting wrong in the submission.

By Nattapon S

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Jun 18, 2017

Very good course. I leard a lot about python pandas and how to clean/structure/analyze data.

I will practice more on pandas.

By Agam j

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Jul 28, 2020

one of the very informative and precise course and the assignments are also very good. really made me hustle to solve them.

By Amina B

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Jul 12, 2020

Very usefull and full of significant discoveries course! Recommended for the beginners such as I was without this course:)

By EEGA K C

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Apr 21, 2020

The course is really good learnt a lot things while involved in solving assignments,

liked the lectures of brooks immensely.

By Dhananjai S

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Jan 13, 2019

Excellent course and to the point explanation. Although i believe video Lectures can be more fun. hank you for the course.

By Alok K

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Nov 25, 2018

Excellent Course!! This course gives you understanding about data manipulation using pandas and other libraries in python.

By Georgios G

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Feb 11, 2018

Fantastic introductory course for Data Science beginners. The exercises helped me get hands-on experinece on real datasets.

By Thomas P

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May 9, 2017

Great introduction to the basics of the pandas library with plenty of opportunity for self-driven learning and exploration.

By Huy H M

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Aug 5, 2020

This course helps me to see the first sight of data science. It is very useful for my career path in the future. Thanks :)

By Emre P

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May 27, 2020

Amazing course with high quality content. However I need to mention that I experienced many problems with the auto-grader.

By Ava Z

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Sep 11, 2018

Really good course, especially the assignment. they're all real world data, very useful skills I learned from this course.

By Suyash D

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Aug 21, 2018

Awesome course!! First ever course that pushes you beyond your limits and provides a real-world data wrangling experience.

By Juan D

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Sep 5, 2017

Excellent course! Assignments help me to understand how to manipulate data in csv, txt and xls file into pandas dataframe.

By Chris R

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Sep 1, 2017

The assignments definitely challenge you and upon course completion I felt confident that I could demonstrate a new skill.

By Melissa P

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Jan 5, 2017

A pretty challenging course! I learned a lot and would recommend to anyone interested in advanced python and data science.

By Mike S

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Oct 27, 2016

Very good design and teaching for a intermediate level learning course! Easy to learn with practice with Jupyter notebook.

By emre p

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Apr 24, 2021

assignments were hard to understand for me, as well as hard to solve. overall an excellent courses. 8/10 would recommend.

By MOHD S

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Nov 27, 2019

Thank you coursera for providing this course to me . I am really happy that learning something best course for my career.

By Vigeen D

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Nov 20, 2018

The assignments are much tougher and exhaustive than the tutorials. It actually helps the student explore python language

By Renier B

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Aug 1, 2017

really practical course, with great assignments that really test your understanding of how to use pandas to process data.

By Tom F H

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Feb 2, 2017

I have struggled a lot during this course to complete the assignments. It is hard, it is well taught and you learn a lot!

By Milco N

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May 3, 2023

Interesting course - it could even have been better if there had been any shareable slides for the learners to download.