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

4.5
stars
26,927 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

HC

May 3, 2018

It's very useful specially for new learner because it only dives into the part of python that data science need. I strongly recommend to anyone even if you don't have experience in programming before.

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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776 - 800 of 5,921 Reviews for Introduction to Data Science in Python

By Khalid A

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Nov 28, 2017

Great Course.I learn a lot from this course but i think this course is not for beginners as it needs very good knowledge of programming skills.Overall its a very gud course and its assignments are very competetive.

By Amol G C

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Nov 25, 2017

It was very intuitively taught and that made the course easy to learn. Thank you coursera for providing world class faculty and super awesome courses. I will try to give it back to coursera in whatever way possible

By My D C

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Jan 24, 2017

I learned good materials for Python from this class. The assignments are good. Only one comment: the writing of the assignments can be very vague and at times it is hard to understand. Overall, I like the class.

By Linjie W

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Aug 30, 2017

Very good course!! The assignments really encouraged me to learn more by myself, and also to learn how to solve problems through forums such as Stark Overflow. The forum within this cause is also very useful, too.

By Shu C

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Jul 4, 2017

The course video are pretty short and does not include everything. I need to do a lot self survey for the assignments. But the support from the forum is very solid. Big thanks to Sophie! Good learning experience!

By Jaison A

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Mar 6, 2017

Excellent pandas course. The exercises were extremely challenging, but helped me hone my pandas syntax a lot. Definitely worth the time if you're interested in becoming a business intelligence analyst or engineer.

By Ankur S

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Mar 20, 2019

This was the best ever course I have done till date with lots of hands-on. Assignment question are excellent. I have performed analytics with real time data it was really like some kind of project experience !!!

By Valentina C

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Nov 29, 2016

This is a very useful course. I recommended this course at people that already know how to programming. Week's homework are more difficult than in the description and needs more time( for my personal experience )

By Mark B

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Nov 27, 2020

Excellent Course, I struggled with the assignments a bit but after doing some extra research I managed to complete them and learned a lot in the process. Great Course to get started in Data Science using Python!

By ANKIT S

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Sep 15, 2018

This course is very good and providing knowledge about python and it's built-in libraries like numpy, pandas, statistical analysis etc.

I am very thankful for getting one new programming language into my library.

By Rob N

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Aug 8, 2017

More challenging than I expected. The assignments aren't a lot of code but they do require some thought and experimentation to get right. Would have liked a bit more lecture material with more examples though.

By Panagiotis B

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Feb 4, 2017

Really good introductory course to Pandas. Teaching stuff was a big help and forums are very active and informative. Very good work. Area of improvement: The estimated timings of completion are too optimistic :)

By Bob S

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Oct 22, 2017

Good introduction course. Did require the student to be resourceful and teach themselves additional pandas techniques in order to complete the homework. The homework was a tangible and applicable problem set.

By Vishal P

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Jun 24, 2017

This course is very well formatted and designed. You get to learn the basics and will have chance to have hands on some live data. The mentors are really helpful for any help that you need for your assignments.

By Jose A G

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May 13, 2017

Definitely one of the most useful courses I have done in Coursera. Took me a while to get the rhythm but after that everything was smooth. As it says you will really need an INTERMEDIATE level of Python for it.

By Thai D

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Feb 21, 2017

It is an interesting course. After taking this course, I can make use of Pandas, numpy in python. In addition, I have learned some interesting knowledge about statistic. Thanks Prof. Christopher Brooks and TAs.

By Qidong H

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Jan 1, 2017

This is a great course with excellent materials and very practical assignments. The course forum is more than supportive, I won't be able to complete this without helps from my peers and all the teaching staff.

By Marc T

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Nov 8, 2016

Very nice course format. Sometimes really challenging, and outright fun ! I wish there would have been a little more participation by staff / mentors, but this is just a minor cutback. Recommended to everyone !

By SHIBLI N

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Dec 2, 2022

Nice Course Materials. Assignments are a little bit challenging which makes the course so special and it helps me good understanding of the lecture. I think, a little improvement is necessary in regex section.

By Ravi

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Aug 30, 2019

This course is fabulous, most of the time we have to learn on our own.Teaching staff is giving valuable suggestions to each and every question posted by students.After completion of course you feel confidence.

By Yves T

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Aug 10, 2019

Great course with assignments that are challenging but not too hard. The difficulty is balanced and I really feel I master the knowledge. The lessons are great. The staff was responsive when I asked questions.

By Harold

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Jan 13, 2019

This course has an in-depth exposure to pandas, and how to manipulate dataframes. I found it quite challenging and rewarding, as it improved my knowledge of series, dataframes and data manipulations in Python.

By James C

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Mar 26, 2018

A profound and delightful experience of online learning.

I especially impressed by the exercise of submitting assignment.

It is so excited to get it passed while I can really learn something from those exercise.

By Lawrence O

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Mar 29, 2017

Very informative introduction to Data Science using Python. Well presented and explained by the instructor. I will recommend this for python beginners and intermediate learners.

I enjoyed it, hope you will too.

By Kaustav T

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Jan 31, 2017

The course material is very short and precise. Previous knowledge of Python is helpful. This course serves its purpose as an introduction to Python libraries and how they are used in the field of Data Science.