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Volver a Exploratory Data Analysis With Python and Pandas

Opiniones y comentarios de aprendices correspondientes a Exploratory Data Analysis With Python and Pandas por parte de Coursera Project Network

4.6
estrellas
294 calificaciones
68 reseña

Acerca del Curso

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....

Principales reseñas

PG

11 de feb. de 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 de may. de 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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26 - 50 de 67 revisiones para Exploratory Data Analysis With Python and Pandas

por 이진우

21 de feb. de 2021

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

por Faizal E

23 de ago. de 2020

Loved the clarity with which the course was taught!

por Saloni P

1 de mar. de 2021

clear instructions and easy to follow

por ABhijit B

14 de feb. de 2021

Very good explanation and content

por Ajinkya M

7 de abr. de 2021

I really enjoyed it thoroughly.

por Eric R

25 de dic. de 2020

Informative and well-organized!

por Thomas P

16 de may. de 2022

solid visualization training.

por Abhishek V

13 de sep. de 2020

Nice and crisp explanation..!

por Mustak A

15 de abr. de 2021

I love this guided project

por Yemasu A P

15 de mar. de 2021

is perfect for practice

por Bheeshma K S

2 de mar. de 2022

Excellent EDA course.

por Raja R G K

25 de ago. de 2020

Excellent and Great

por Frederico C

20 de jun. de 2021

Very good project!

por 임재빈(ETHAN) 임

7 de mar. de 2021

CIS PE 2069260 임재빈

por Ghulam M A

29 de oct. de 2020

so easy it was

por Aryan R

13 de nov. de 2020

very helpful

por Mohamad F H

14 de feb. de 2021

Nice course

por Vijay R

31 de oct. de 2020

Excellent!

por Deepak K

31 de oct. de 2020

Thank You

por Akshit B

25 de ago. de 2020

Loved it.

por Aimy N B M Y

20 de nov. de 2020

finally

por Ibukunoluwa A

30 de ago. de 2020

Perfect

por Deleted A

5 de sep. de 2020

Great

por Ragavi N

17 de dic. de 2021

4.5

por George J

15 de feb. de 2021

Clear, easy to follow, with reasonable example data to motivate the analysis. I'm not sure if there's a lot of value here that you wouldn't get from just finding a webpage about basic beginning data exploration with pandas, or perhaps a hosted google colab notebook where you can just go line by line and execute the code yourself. Basically the experience of the course is typing into your window exactly what the teacher is typing in his window.