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Data Science: Visualização de Dados com Python

Aprenda a construir visualizações de dados usando a linguagem de programação Python e a biblioteca Pyplot

4.61 / 5.0
230167 students1 hours 4 minutes

Created by Diego Mariano, Ph.D., offered on Udemy

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Student feedback


To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 230167 students which left 5375 reviews at an average rating of 4.61. Impressive!

Course length


We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 1 hours 4 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score


This course currently has a bestcourses score of 9.0/10, which makes it a great course to learn from. On our entire platform, only 15% of courses achieve this rating!


Visualização de dados é uma importante área de estudo para Data Science. Neste curso, abordaremos alguns conceitos importantes para criação de visualizações e gráficos em geral com a linguagem de programação Python. Conheceremos a biblioteca MATPLOTLIB PYPLOT e manipularemos dados obtidos no DataSUS e em bancos de dados de bioinformática. Matricule-se já!

What you will learn

  • Visualizar de dados com Python
  • Conhecer a biblioteca MATPLOTLIB PYPLOT
  • Construir gráficos de linhas, barras, dispersão e boxplot
  • Manipular dados para construção de gráficos


  • Lógica de programação
  • Linguagem Python (básico)
  • HTML (recomendado, mas não obrigatório)
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Frequently asked questions

  • Price: Free
  • Platform: Udemy
  • Language: Portuguese
  • 1 hours 4 minutes
Data Science: Visualização de Dados com Python thumbnail

bestcourses score: 9.0/10

This course is better than many others in its category.