Chevron Left
Back to Data Analysis Using Python

Learner Reviews & Feedback for Data Analysis Using Python by University of Pennsylvania

4.5
stars
378 ratings

About the Course

This course provides an introduction to basic data science techniques using Python. Students are introduced to core concepts like Data Frames and joining data, and learn how to use data analysis libraries like pandas, numpy, and matplotlib. This course provides an overview of loading, inspecting, and querying real-world data, and how to answer basic questions about that data. Students will gain skills in data aggregation and summarization, as well as basic data visualization....

Top reviews

JA

Sep 6, 2021

Good course, it gives you the basic info to pandas, numpy and matplotlib. It teaches you how to obtain dataframes, join, filter, group, summarize and visualize data. Short course but really worth it.

YS

Nov 12, 2022

Good! It is probably challenging sometimes, but it is not very tough generally speaking. A little drawback might be that it didn't help me build up data analytical thinking vey much.

Filter by:

51 - 75 of 99 Reviews for Data Analysis Using Python

By Julien J

Aug 31, 2022

Nice introduction.

Interesting references.

By Kagiso K D

Jul 22, 2021

Great content and stimulating assessments

By Eva N

Mar 30, 2023

Really Helpful & Organised Structure.

By Luis E B

Jul 11, 2022

Great introduction to Data Analysis!

By Kudalkar D A

Feb 27, 2022

Very very nice course for beginners.

By Jiahao H

Sep 13, 2021

it helps me improve a lot!!!

By Masahisa W

Jun 29, 2021

Crystal clear for begineers

By Rickin J

Nov 21, 2023

An exceptional course!

By Maxwell M

Feb 26, 2023

Informative and useful

By Chris R

Sep 23, 2022

A good introduction.

By Calvin K L Y

Jan 9, 2022

nice hands on course

By Mech_A067_Digant P D

Aug 2, 2021

really great course

By Jennelle F

Jun 24, 2023

a perfect course!

By miho s

Jul 14, 2022

It was really fun

By Jakov M

Sep 26, 2022

Good and simple

By Gaurav P

Aug 14, 2021

amazing content,

By Wael E K

Jul 24, 2021

well organized.

By Shahzeb M

Feb 2, 2024

Amazing Course

By Erwin D

Feb 16, 2024

Good course!

By viraj k

Sep 29, 2023

Fascinating

By Dr.Srabanti M

Oct 8, 2023

Thank You

By J H

Jul 16, 2021

On one hand this is a really good course and the slides are excellent and enough to teach you all you will need to know. However, the assignments are not always clear about what you should do and you may find that having the right columns in the wrong order is enough to mark you wrong. This being said, if you look at the output from the errors it will give you an indication of exactly why the test failed and what the test was actually looking for.

By Donna G

May 5, 2022

I learned a lot in this course. I enjoyed the homework/assessments. I do wish the assessment questions were worded a little more clearly for those of us who overthink. I found that my mistakes were often in misunderstanding what was wanted.

I found a lot of answers combing the discussion forums, but I also did a lot of outside research. YouTube helped a lot to get pandas down. Overall, I feel like it was well worth the time and effort.

By David T

Jun 17, 2021

It was a good class. The assignments are fairly straightforward and the videos are bite-sized so you don't have to sift through hours upon hours of video. As for improvement, I think it's more an issue with Coursera itself rather than the instructor or UPenn, but I sometimes feel like it's hard to know how much I've retained from the class.

By Michael G

Feb 5, 2024

For what the course covered it was good; but I think the course could've gone into more depth. You shouldn't expect to come out of this course and be qualified as a data analyst. This course shows you how to do some very basic data analytics tasks using Python.