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Exploratory Data Analysis With Python and Pandas に戻る

Coursera Project Network による Exploratory Data Analysis With Python and Pandas の受講者のレビューおよびフィードバック



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....



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.


Straight forward, easy to follow along and understand.\n\nGreat for someone who needs a refresher or a basic overview on Data Analysis with Python and Pandas


Exploratory Data Analysis With Python and Pandas: 1 - 25 / 55 レビュー

by Anas A


It does not really deal with categorical data

by f_m


No ability to access the Jupyter Notebook once the course has ended (it says the session has ended). So what's the point?

by Suhaimi C


This guided project is one of the best I have learned so far. Bassim is an awesome instructors. He gave lots of insights about exploratory data analysis with Python and pandas. Great tips and tricks. Easily to understand and follow. Highly recommend this guided project to get you started in python programming using pandas, numpy and seaborn libraries.

by Pushpendu S


Thanks for such a beautiful introduction to Pandas. I have taken other introductory courses but this takes the cake. Apart from teaching Pandas and Seaborn, it builds up gradually and lays out a path for practical EDA. Kudos for a heck of a course !!

by Poorva J



by Courtlin H


Nice introduction to the topic of EDA with Python. Just long enough to cover the basic in 1-2 hours. I'll keep the course notebook for reference in future EDA work. I would like to see an intermediate and advanced course on the same topic from this instructor.

by Asif M


This course was useful in at least two ways, firstly- the quick hands on learning and practice of pandas, seaborn and matplotlib, and secondly- got an idea of what basic data exploration/visualizations are usually performed.

by Pragya M


Amazing course. Full concept coverage with easy to understand codes. I do not think i will have to look at any other material to get EDA done for my projects

by Silas A A


Straight forward, easy to follow along and understand.

Great for someone who needs a refresher or a basic overview on Data Analysis with Python and Pandas

by Daniel M


This was an amazing course! In all honesty I didn't expect to learn this much from a 2-hour project, but Bassim proved me wrong! This was great.

by Emmanuel S


Excellent tutorial! It gave context to dealing with different datasets and not just the one we were working with.

by Dennis R


Awesome step by step instruction and explanation of each command and function used. Overall an excellent course.

by Lasal J


This course is really interesting and well balanced. Kudos to the instructor. I recommend anyone to take it!!!!

by Amal P F


The content seems very easy to understand and pace at which it is taught is also wonderful.

by Anu S


Excellent project - course covers indepth details of data analysis. Instructor was great!

by Sebastian


Simple, Short and concise with proper explanations on EDA which are easy to understand.

by Edwar A H S


Muy útil este hands On para empezar a aplicar herramientas de

Exploratory Data Analysis

by Salih K


Simple yet very organized, and elegant Data Analysis project. I really liked it!

by 3ali M


The instructor covered well all the materials that listed in the course outline

by Stuart F


Top marks, I would do any courses with this tutor, it was really great. thanks

by m.ponmani


Great introduction for a newbie interested in data analyst career

by Marc L


This is a really good foundational course on EDA. Nicely done.

by Puspavathy R


Enjoyed the session. It was easy to follow and fun to learn

by 이진우


for this course, i can learn data analysis! thank you

by Faizal E


Loved the clarity with which the course was taught!