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.
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
The content seems very easy to understand and pace at which it is taught is also wonderful.
I found the content concise and to the point which is useful in data analysis.
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.
Need to include some more stuff realted to Exploring the data and data handling,The Instructor is good in explaining the concept .
Best EDA course ever. Must take this guided project. I enjoyed thoroughly and understood everything taght by him.
The instructor covered well all the materials that listed in the course outline
superb bomb project, i recommend anyone who have zero knowledge of python.
An excellent course! Highly recommended for anyone who wants to learn the fundamentals of EDA using Python.
Awesome step by step instruction and explanation of each command and function used. Overall an excellent course.
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
This project was practical and to the point. The instructor was elaborate on both the purpose of and execution of the code.
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No ability to access the Jupyter Notebook once the course has ended (it says the session has ended). So what's the point?
It does not really deal with categorical data
outdated and frustrating
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.
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 !!
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.
best
Really good for doing a project using Pandas, Numpy, Seaborn and Matplotlib, as well as the Pandas Profiler. However, it's a bit outdated and a lot of the code breaks on this, so it requires a lot of self-learning. Also, the dataset is quite vanilla, and there are few critical insights that we can get from it through this project. I wish the dataset was more exciting, or the insights discovered through the EDA would be more meaningful.
Examples are old and many are broken. Frustrating waste of time.
I 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.
This 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.
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.
A 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.
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.
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
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
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.
This project was practical and to the point. The instructor was elaborate on both the purpose of and execution of the code.
Best EDA course ever. Must take this guided project. I enjoyed thoroughly and understood everything taght by him.
Excellent tutorial! It gave context to dealing with different datasets and not just the one we were working with.