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Voltar para Data Visualization with Python

Comentários e feedback de alunos de Data Visualization with Python da instituição IBM

4.5
estrelas
9,593 classificações
1,435 avaliações

Sobre o curso

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Melhores avaliações

LS
27 de Nov de 2018

The course with the IBM Lab is a very good way to learn and practice. The tools we've learned in this module can supply a good material to enrich all data work that need to be presented in a nice way.

AM
13 de Ago de 2020

Great course, one of the best course to get hands-on learning for Data Visualization with Python. Particularly the lap exercise, it will make you think on every line of code you write. Excellent!!!

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1051 — 1075 de 1,429 Avaliações para o Data Visualization with Python

por Prashant S

4 de Abr de 2019

The last section of advance Visualization lab could have been more better

por LAURA T G

17 de Fev de 2020

Mmany mistakes that make the studentsd work and stress more tan required

por ARCHANENDRA S

6 de Dez de 2019

Excellent study material and brief description of visualization concepts

por Apoorv T

30 de Jul de 2020

the spatial analysis is new to me and want more detailed study chapters

por Diego A P

6 de Dez de 2020

A broad range of visualizations explained fast and straightforward.

por Alvaro F

18 de Mar de 2019

It would be good to make another section only for seaborn or bokeh

por anish k

20 de Ago de 2020

Good enough to learn basic skills of data visualization library.

por Carlos A

6 de Mai de 2020

Felt like there could be more information in the last week lab.

por Kang R K

5 de Nov de 2019

short course but learn useful python package Folium efficiently

por William O

28 de Abr de 2020

Thanks for the content of this course. I really learned a lot.

por Nicolás G S I

31 de Jul de 2019

The final assignment is not too clear.Question 2 specifically.

por Serdar M

25 de Nov de 2018

more explanation on functions' and methods' parameters needed

por Frank H

6 de Fev de 2020

Some new packages i've never seen. Map one was really cool.

por Hong W

13 de Mai de 2020

Good course to learn basic knowledge of data visualization

por Kevin D

26 de Set de 2019

first of the courses where things weren't spoonfed to you.

por Greg G

6 de Jul de 2019

An interesting course with a number of practical examples

por Ahmad S

30 de Jul de 2020

Very good course but need more examples and explanations

por Aloke D G

24 de Set de 2019

Good insights into various plotting methods and library.

por Ankit K S

13 de Fev de 2020

Very wisely chosen content of ungraded lab assignments

por Murat A

27 de Set de 2021

I had to retake the quizes which I completed already.

por Mirjan A S

22 de Ago de 2020

Very Good Course for Data Visualization with Python..

por Gaurav J

3 de Mai de 2020

Will be good if seaborn is also included in syllabus

por Ravindra D

18 de Nov de 2019

Brief introduction to Data visualisation using Python

por krantiveer s

8 de Abr de 2019

great course content but it should be more disciptive

por Vivek P

10 de Jun de 2020

The course was good, but some documents were missing