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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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1276 - 1300 of 5,936 Reviews for Introduction to Data Science in Python

By Sai V

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Sep 4, 2017

An exceptional course to introduce you to the core fundamentals of data analysis in python. I'm glad I came across this course.

By Komal V

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May 24, 2017

It's a great course with attention to detail. The assignments are very detailed which help a lot in grasping the key concepts.

By Jason O

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Mar 14, 2017

Thoroughly enjoyed. It was set at a good level – enough was left in the assignments so they felt like an actual accomplishment.

By Dean C

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May 24, 2021

Instructor was clear and concise, the quizzes and homework were applicable, and the forums were kept up. Great course overall.

By Chen

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May 23, 2021

Some of the questions in assignment are not so clear, and I wish we can see the reference answer after finishing all the test.

By Sebastian C

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Apr 27, 2021

Excelente curso, tiene contenido mu variado y lleva al alumno a practicar e investigar para poder pasar las pruebas practicas.

By Fernando G M G

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Jul 15, 2020

It was very well designed course. I learn a lot of pandas and I'm looking forward for the next courses in the specialization.

By Rimzim s

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Apr 19, 2020

This was a amazing course related to data science. Most of the topics were covered in this course and the level is quite high.

By Aseda O

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Nov 6, 2018

Great course. Assignments are challenging, and that is what forces you to apply the concepts explained and even learn further.

By Hammad H

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Nov 6, 2018

Nice course. But I recommend take first Python basic course before jumping to this course. It's a bit fast than basic courses.

By Syed U

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Dec 28, 2021

Amazing course for students. It will definitely help you to improve your knowledge. Structure of this course is really nice.

By usama i

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Jan 7, 2021

Good course but could be improved by focusing more on python fundamentals i already knew python so it wasn't a problem for me

By Madina

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May 2, 2020

Nice course to begin career as Data Scientist. You learn how to deal with Python objects and clean data for further analysis.

By Alan G M O

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Oct 31, 2019

One of the best courses I've taken. Assignments were the best and hardest part.

Thanks to all who make this learning possible.

By Maurizio

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May 2, 2019

Nice introduction to data science and python, focused on how to read, clean, transform, elaborate data with python and pandas

By Israel S L

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May 15, 2018

Final test was hard!, you need to put there more info about what it is really needed!! But I have really enjoyed the course!!

By 廖韋茹

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Dec 17, 2017

It is a really good course to help me know further about python and different packages. Highly recommend to take this course!

By Ohnmar H

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Jul 4, 2017

I have taken several Coursera courses, especially to Python and data related. This course is very useful to my research work.

By Chaitanya D

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Nov 20, 2016

A great introductory class to data science with challenging assignments to build a solid understanding of pandas and numpy .

By Zhu J

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Jul 22, 2022

It is a great course, very helpful for mastering basic and very much frequently used data manipulation and processing skills

By Dilip K N

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Sep 14, 2020

It's a very nice course. Assignments are very very good. Especially last week's assignments are challenging and interesting.

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.