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Bewertung und Feedback des Lernenden für Exploratory Data Analysis With Python and Pandas von Coursera Project Network

356 Bewertungen

Über den Kurs

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....



11. Feb. 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.


19. Mai 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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1 - 25 von 82 Bewertungen für Exploratory Data Analysis With Python and Pandas

von Fergal M

19. Jan. 2021

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

von Anas A

17. Okt. 2020

It does not really deal with categorical data

von Suhaimi C

18. Okt. 2020

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.

von Pushpendu S

4. Sep. 2020

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 !!

von Poorva J

22. Aug. 2020


von sharad s (

10. Dez. 2022

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.

von Courtlin H

21. Feb. 2021

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.

von Aaron R

19. Sep. 2022

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.

von Asif M

8. März 2021

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.

von Hanumantha R M

20. Mai 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.

von Pragya M

19. Dez. 2020

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

von Silas A A

4. Dez. 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

von Daniel M

3. Sep. 2020

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.

von Taylor L

14. Juli 2022

This project was practical and to the point. The instructor was elaborate on both the purpose of and execution of the code.

von Rohan J

5. Juni 2022

Best EDA course ever. Must take this guided project. I enjoyed thoroughly and understood everything taght by him.

von Emmanuel S

5. Nov. 2020

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

von Dennis R

14. Sep. 2020

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

von Lasal J

20. Nov. 2020

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

von Long N

25. Feb. 2022

An excellent course! Highly recommended for anyone who wants to learn the fundamentals of EDA using Python.

von Amal P F

20. Aug. 2020

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

von Anu S

3. Okt. 2021

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

von Sebastian

11. Okt. 2020

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

von Edwar A H S

19. Sep. 2020

Muy útil este hands On para empezar a aplicar herramientas de

Exploratory Data Analysis

von Sevda Ş

19. Juni 2022

I need to practice more but it was a great course. I definitely learned something.

von Salih K

30. Sep. 2020

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