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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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1001 - 1025 of 5,936 Reviews for Introduction to Data Science in Python

By Swami C

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Mar 4, 2017

Fantastic course with challenging assignments. Wish there were more handouts to explain some of the key concepts and the grader was better informative of the errors.

By Albert Z

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Jun 25, 2023

Very time consuming, and difficult especially when your a freshman in high-school. Besides that, very informative and fun. Good luck with Regex, and cleaning files!

By Mahmoud M

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Feb 4, 2023

That was so good. Because it forces you to learn how to code functional, which is so important I think and also a lot of things that you need in data science field.

By Niloy C

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Jan 30, 2021

The assignment were too good as it would test your knowledge and make to think on how to clean the data sets do manipulation and run descriptive statistics on them.

By Victor M T S

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Dec 25, 2020

Es en general un buen curso para aprender la ciencia de datos con Python, sugiero enfáticamente que quien lo vaya a tomar tenga previa experiencia sólida con Python

By Shivam S

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May 29, 2020

Thanks for this wonderful lecture , concepts were very well described. Thank you coursera and university of Michigan and special thanks to Prof. Christopher Brooks.

By Mrunali N P

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May 14, 2020

Thank You..fo giving such useful infomation related to Data science in Python.The Best Thing you give the sample notebook so it could help me to understand better .

By Urmila R B

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May 10, 2020

Thank You for Giving such useful information related to Data Sci with python. The best Thing is u give the sample notebook so it could help me to understand better.

By Avatar G

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May 1, 2020

The course is very good for beginners, the Tutors teach well and give assignment that are based on self learning plus their teachings, overall it improves knowledge

By Punam P

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Apr 7, 2020

Very Nice course.. I really thankful to instructors, All team members and To University of Michigan.. Thank you coursera for such a great platform available for us.

By Matt P

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May 7, 2018

This course was challenging, but very rewarding in the end. I learned many skills that will help me in by job and am interested to learn more in the future courses.

By Beñat G

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Jan 31, 2018

Fast-paced Python introduction course for those people who have some programming background and who are interested in Data Science topics.

Nice course to begin with!

By Kai W

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Dec 19, 2020

It is very hard to complete without talking to other students. The staff is doing a great job in the forum, but the lack of talking is making the course very hard.

By Betsy L

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Jul 8, 2020

Extremely challenging -- I'd spend about 10 hours per assignment but definitely well worth it! Stack Overflow and the discussion forum will be your key to success!

By Jan Z

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Aug 9, 2018

Great course despite of a tiny mismatch between auto-grader and details in assignment description. One has to submit 100% to pass with 80%. Definitely recommended.

By Jean-Paul C

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Mar 19, 2018

Great course, quite a steep learning curve with regards Pandas, but well worth the effort. Assignments are very effective at helping embed and expand the learnings

By Yi X

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Jan 7, 2018

I only audited this course, but it is great. Initially it was a little difficult for me to follow but once I read some basics of pandas and numpy, it became clear.

By Neel R

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Jul 25, 2017

Hi Professor,

Thank you so much for taking the time to structure this program. Looking forward to another great learning experience in course 2.

Thanks,

Neel Roshania

By Zijian X

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Feb 5, 2019

The teaching staff are all amazing, they are responsive interactive and professional. I really learnt a lot in terms of python especially pandas. Love the series!

By Jeff S

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Oct 22, 2017

Great start to learning data science techniques. Highly recommended that you get a solid understanding of the fundamentals of Python before starting this course.

By Siddhartha B

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Oct 4, 2017

This is my first online course. I enjoyed the course and specialy enjoyed solving the assignments. Even though I am not new to programming it was not a cake walk.

By Le L

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Jun 5, 2017

Excellent course, the teacher gives clear introduction, and the exercise is very useful to train our skill. I have no hesitation to recommend it to my classmates.

By Mr T

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Apr 8, 2017

Lectures are very informative. Liked assignments because they were opened enough to seek for a new information by yourself - that's a thing everyone must improve.

By Chintoo K

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Jun 12, 2020

A great job by the Instructor. Since tutorial contains hands on work a little bit fast so it was difficult to get it these concepts in time. Overall great job :)

By Rajesh S

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Jan 6, 2018

This course helped me learn Python and the assignments and the projects helped even more to learn. I would like each and every person behind such a great course.