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Learner Reviews & Feedback for Exploratory Data Analysis With Python and Pandas by Coursera Project Network

4.5
stars
402 ratings

About the Course

In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Top reviews

PG

Feb 11, 2021

All the explanations were very clear and well explained. This was an excellent course! Please continue building up on this series and move to basic machine learning algorithms using regression.

HJ

May 19, 2022

This course is very recommendable to every one who wants to build their career in data analytics. Good project and the instructor explained very well step by step.

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51 - 75 of 92 Reviews for Exploratory Data Analysis With Python and Pandas

By Tung L T

•

Aug 15, 2023

Very informational

By Frederico d A C

•

Jun 20, 2021

Very good project!

By 임재빈(ETHAN) 임

•

Mar 7, 2021

CIS PE 2069260 임재빈

By Ghulam M A

•

Oct 29, 2020

so easy it was

By Aryan R

•

Nov 13, 2020

very helpful

By Mohamad F H

•

Feb 14, 2021

Nice course

By Vijay R

•

Oct 31, 2020

Excellent!

By Deepak K

•

Oct 31, 2020

Thank You

By Akshit B

•

Aug 25, 2020

Loved it.

By Aimy N B M Y

•

Nov 20, 2020

finally

By Ibukunoluwa A

•

Aug 30, 2020

Perfect

By Deleted A

•

Sep 5, 2020

Great

By Ragavi N

•

Dec 17, 2021

4.5

By T. S

•

Sep 27, 2022

The information was interesting and well explained. The project was fun and included several skills and commands.

I didn't give it five stars because the workspace didn't seem to have enough cells to perform the tasks and there was no explanation of how to add more. I figured it out, but it took some time and I had to rush through parts to finish before the deadline. Also, the instructor's cursor sometimes covered a mark in the code so I had to wait for him to move it and then pause the video to complete the line of code, which again wasted time. I wasn't able to complete all of the steps, but I passed the quiz, so I still got the certificate.

I had never used Python, but I was somewhat familiar with R, so the logic made sense to me. All-in-all, I'm glad that I took the course.

By George J

•

Feb 15, 2021

Clear, easy to follow, with reasonable example data to motivate the analysis. I'm not sure if there's a lot of value here that you wouldn't get from just finding a webpage about basic beginning data exploration with pandas, or perhaps a hosted google colab notebook where you can just go line by line and execute the code yourself. Basically the experience of the course is typing into your window exactly what the teacher is typing in his window.

By Yixuan C

•

Jun 15, 2022

This course is informative, and the hands-on aspect of it really helps hone in basic syntax in pandas and seaborn. I was expecting the plotting will be done in matplotlib, but it was seaborn, which is a pretty straightforward plotting library. Nonetheless, it is interesting to learn about it.

By Levi A

•

Feb 20, 2021

Overall good experience. This was my first guided program so my expectations might be a bit off, but I expected the guiding to go deeper. Overall, good overview but it was just a high-level various data analytics functions.

By Ruslan K

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Nov 13, 2020

It was good enough to become acquainted with pandas and data visualization. My suggestion to add some more explanation about what we are doing and about pandas features' capabilities.

By lavanya k

•

Dec 4, 2020

Need to include some more stuff realted to Exploring the data and data handling,The Instructor is good in explaining the concept .

By Amaia P d A M

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Apr 27, 2022

It's ok in order to get the fundamentals because it's short and simple. I would like to get more.

By Catarina A

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Apr 18, 2021

The website/application where you could make exercises was not always working properly.

By Jetender K S

•

May 8, 2022

Very nice course but some more scenario's required

By Prince A A

•

Dec 27, 2021

very useful and concise

By Faiza H

•

Mar 4, 2022

well explained .