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

4.5
stars
27,080 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

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

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.

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726 - 750 of 5,951 Reviews for Introduction to Data Science in Python

By Carlos A

May 8, 2017

This has been a eye opening experience, it allows you to thing about normal life and the way we handle data differently, the course is very bast to be an introduction level but I didn't mind it at all, I'm happy it is this way.

By brian a

Apr 2, 2017

This class was super useful. I had a minimal amount of base Python under my belt and some data analysis in R, but this course really got me off the ground using the pandas data analysis library for Python and Jupyter notebooks.

By Javier L

Feb 21, 2017

Fantastic course. Quite challenging but it is really worth for people looking to learn python and some of the key concepts in data science. I definitely will continue with the following python courses part of the specialization

By Deleted A

Apr 27, 2023

I really enjoyed this course, I got some Pandas and Numpy skills. in particular i liked the way as the professor explain. I understood the concept of data science and this gives the motivation to learn more about data science.

By Aditi D

Jul 29, 2020

I found this course amazing. I learnt a lot of stuff from basics and it helped me understand from the scratch. I learnt numpy, pandas and python programming and I am looking forward for another course from the same instructor.

By Cris S

May 25, 2020

Great introduction course. Certainly challenging. The forum is particularly helpful in not just helping you get clarity towards the answer, but also seeing how other code might be structured to be more efficient than your own.

By Matthew O

Jul 31, 2019

Solid course that takes you from simple concepts to relatively complicated content for beginners. The autograder on the assignments can be painful but the forums are very helpful in getting issues resolved relatively quickly.

By Yuxia, L

Sep 16, 2018

excellent.

jupyter is a cool tool.

useing datetime to resamling data is an convinient way.

merge dateframe is better than use mysql table.

normal distribution and chi-distribution, t distribution gave me some idea to learn more.

By Malygin V

Mar 27, 2018

It may seem extremely hard for someone. Takes a lot of time to overcome complicated assignments. Require a lot of searching and experimenting. After the course you'll feel tired, but you will be able to manipulate data nicely.

By Aayush G

Mar 17, 2019

It was an awesome experience of learning Pandas. The course materials & specially the Assignments cleared the concepts absolutely clear !!!

BIg Thanks to Coursera & University of Michigan for putting such an awesome course !!!

By Tiong S C

Nov 14, 2017

The tutorial is challenging but Sophie very likely offers help on the discussion forum. I have been coding for two years by self-learning but this course reinforces my learning and the tutorial practice did improve my skills.

By Ganesh S

Jul 9, 2017

Well thought out and right level of difficultly. Course covers it at right pace. One might think that this course is difficult, if they don't have programming background. The professor and the Staff were very helpful as well.

By Jonathan B

Jul 14, 2020

As an intermediate Python programmer with some data science experience, this course offered very valuable lessons and challenging assignments. Would highly recommend for those interested in pursuing a career in data science

By Vineet K

May 3, 2020

awesome content and practices question is too good it give me clear vision about data Science.

Christopher Brooks sir teaching very cool manner. it was great point to make interest

thanks Coursera

thanks Christopher Brooks sir

By Fernando M

Sep 27, 2018

Very interesting and challenging course. It gives you the big picture about Data Science and all the advantages Python has to deal with it. I recommend it if you are minded to expend a couple hours researching by yourself.

By SHUBHAM M

Mar 14, 2018

I have learn a lot from this course. I learn how to visualize data and manupilate. Thank to Christopher Brooks to teach me this course and I am highly recommend this course to all those want to do somrething in data science.

By bcretu

May 16, 2017

Very complete and challenging course. Highly recommend to those who want to get the basics (as it was in my case). Staff is very supportive and constantly answering on the forums.

Congratulations to the University of Michigan

By אייל א

Dec 5, 2016

great hands on course, with challenging exercises and fast paced lectures.

the homework assignments need some rephrasing, as it is not always clear whats being asked.

looking forward to the second course in this specialization

By Bhuvan C

Aug 15, 2020

I have done a number of courses on Coursera, but this one is different and just awesome. Programming exercises are intuitive and need genuine homework to solve the given problem. I really enjoyed my time with this course.

By Jinan P

Aug 15, 2020

Nice start for learning Data science. Jupiter notebook helps a lot it is very convenient.

Instructors are very nice they always ready to clear your doubts.

Discussion forum was the best part. It helped learning thing our own

By YUSSIF M

Feb 9, 2021

It was an unprecedented experience for me in Data Science, just as it was educating and entertaining. The content of the lectures was pretty comprehensive, the lecturer himself mesmerizing, and the fellow students awesome!

By Ebenezer R I

Jan 20, 2020

Excellent introduction on data manipulation through pandas. The assignments were challenging and insightful. Even from a perspective of a Data Scientist, this course uncovers how much of the fundamentals I am yet to learn.

By Jeffy J

Jul 20, 2019

I really liked working on the assignments. I had initially audited the course. later converted to graded version just for the assignments. It was worth it as it greatly helped in improving my understanding of the concepts.

By Jose A N V

Dec 13, 2021

Great learning and feedback. I think this course is intermediate level, it is also good if you have basic knowledge since you will be required to further investigate and complement your learning with book or web material.

By Anshul

Nov 22, 2020

Assignments are the soul of this course. They challenge you, tests you, make you read up more and get more information. I spent 5 times more time in researching and solving assignments and quiz then on the video lectures.