AS
5.0Reviewed Oct 2, 2021
Excellent project - course covers indepth details of data analysis. Instructor was great!
No ability to access the Jupyter Notebook once the course has ended (it says the session has ended). So what's the point?
Exploratory Data Analysis With Python and Pandas
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.
Status: Exploratory Data Analysis
Status: Data Cleansing
BeginnerGuided Project2 hours
Featured reviews
CA
4.0Reviewed Apr 17, 2021
The website/application where you could make exercises was not always working properly.
SA
5.0Reviewed Dec 3, 2020
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
AF
5.0Reviewed Aug 19, 2020
The content seems very easy to understand and pace at which it is taught is also wonderful.
AJ
5.0Reviewed Feb 5, 2025
I found the content concise and to the point which is useful in data analysis.
RK
4.0Reviewed Nov 12, 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.
LK
4.0Reviewed Dec 3, 2020
Need to include some more stuff realted to Exploring the data and data handling,The Instructor is good in explaining the concept .
RJ
5.0Reviewed Jun 4, 2022
Best EDA course ever. Must take this guided project. I enjoyed thoroughly and understood everything taght by him.
M
5.0Reviewed Feb 4, 2021
The instructor covered well all the materials that listed in the course outline
AS
5.0Reviewed Nov 20, 2023
superb bomb project, i recommend anyone who have zero knowledge of python.
LN
5.0Reviewed Feb 24, 2022
An excellent course! Highly recommended for anyone who wants to learn the fundamentals of EDA using Python.
DR
5.0Reviewed Sep 13, 2020
Awesome step by step instruction and explanation of each command and function used. Overall an excellent course.
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Ferg McGivney
1.0
Reviewed Jan 19, 2021Anas Alamri
1.0
Reviewed Oct 17, 2020It does not really deal with categorical data
Suhaimi Chan
5.0
Reviewed Oct 18, 2020This 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.
Pushpendu Sarkar
5.0
Reviewed Sep 4, 2020Thanks 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 !!
Hanook Jes
5.0
Reviewed May 20, 2022This 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.
Poorva Joshi
5.0
Reviewed Aug 22, 2020best
Denis Salmon
1.0
Reviewed Jul 18, 2024outdated and frustrating
Rolando dcd
5.0
Reviewed Sep 12, 2023I liked it and found it useful, but I think the name of the course and time are misleading.
The course is a little bit about EDA and focuses more on visualization, which I found really helpful.
I would recommend this course because everything is well explained and easy to understand.
sharad sen (Sharad)
5.0
Reviewed Dec 10, 2022This course was very valuable and useful for me . I learnt lot of topics such as univariate analysis, bivariate analysis, identify the missing values and dealing with missing values . So, This course is very requried for every data analyst and data scientists.
Courtlin Holt-Nguyen
5.0
Reviewed Feb 21, 2021Nice 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.
Aaron Russell
5.0
Reviewed Sep 19, 2022A fantastic beginner project to build your familiarity with Python's Data Analysis packages, with an instructor that takes things slowly and explains each step of the project in a way that is transparent for anyone to understand.
Asif Mahmud
5.0
Reviewed Mar 8, 2021This 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.
Pragya Mishra
5.0
Reviewed Dec 19, 2020Amazing 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
Silas Asiedu Asamoah
5.0
Reviewed Dec 4, 2020Straight 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
Dani Montoya-Londoño
5.0
Reviewed Sep 3, 2020This 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.
Taylor Littleton
5.0
Reviewed Jul 14, 2022This project was practical and to the point. The instructor was elaborate on both the purpose of and execution of the code.
Rohan Jadhav
5.0
Reviewed Jun 5, 2022Best EDA course ever. Must take this guided project. I enjoyed thoroughly and understood everything taght by him.
Emmanuel Syambi
5.0
Reviewed Nov 5, 2020Excellent tutorial! It gave context to dealing with different datasets and not just the one we were working with.
Dennis Randolph
5.0
Reviewed Sep 14, 2020Awesome step by step instruction and explanation of each command and function used. Overall an excellent course.
Lasal Jayawardena
5.0
Reviewed Nov 20, 2020This course is really interesting and well balanced. Kudos to the instructor. I recommend anyone to take it!!!!