Chevron Left
Retour à Exploratory Data Analysis With Python and Pandas

Avis et commentaires pour d'étudiants pour Exploratory Data Analysis With Python and Pandas par Coursera Project Network

4.5
étoiles
350 évaluations

À propos du cours

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....

Meilleurs avis

PG

11 févr. 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.

HM

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.

Filtrer par :

1 - 25 sur 80 Avis pour Exploratory Data Analysis With Python and Pandas

par Fergal M

19 janv. 2021

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

par Anas A

17 oct. 2020

It does not really deal with categorical data

par Suhaimi C

18 oct. 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.

par Pushpendu S

4 sept. 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 !!

par Poorva J

22 août 2020

best

par sharad s (

10 déc. 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.

par Courtlin H

21 févr. 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.

par Aaron R

19 sept. 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.

par Asif M

8 mars 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.

par 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.

par Pragya M

19 déc. 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

par Silas A A

4 déc. 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

par Daniel M

3 sept. 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.

par Taylor L

14 juil. 2022

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

par Rohan J

5 juin 2022

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

par Emmanuel S

5 nov. 2020

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

par Dennis R

14 sept. 2020

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

par Lasal J

20 nov. 2020

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

par Long N

25 févr. 2022

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

par Amal P F

20 août 2020

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

par Anu S

3 oct. 2021

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

par Sebastian

11 oct. 2020

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

par Edwar A H

19 sept. 2020

Muy útil este hands On para empezar a aplicar herramientas de

Exploratory Data Analysis

par Sevda Ş

19 juin 2022

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

par Salih K

30 sept. 2020

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