Coursera

Trabalho de conclusão de Ciência de Dados Aplicada (Coursera)

Offered by IBM,
Trabalho de conclusão de Ciência de Dados Aplicada (Coursera)

Este curso do projeto de conclusão mostrará um pouco do que os cientistas de dados passam na vida real ao trabalhar com dados. Você aprenderá sobre dados de localização e diferentes provedores de dados de localização, como o Foursquare. Você aprenderá como fazer chamadas de API RESTful para a API do Foursquare a fim de recuperar dados sobre locais em diferentes bairros do mundo. Você também aprenderá como usar a criatividade quando os dados não estiverem disponíveis na hora, coletando dados da Web e analisando o código HTML.

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Você utilizará Python e sua biblioteca do Pandas para manipular dados, o que ajudará você a refinar suas habilidades para explorar e analisar dados.
Por fim, você deverá usar a biblioteca Folium para obter excelentes mapas de dados geoespaciais e para comunicar seus resultados e descobertas.
Se optar por fazer este curso e obter o certificado de conclusão de curso do Coursera, você também poderá ganhar um selo digital da IBM.

Syllabus

WEEK 1
Introdução
Neste módulo, você aprenderá sobre o escopo deste curso de conclusão e o contexto do projeto em que estará trabalhando. Você aprenderá sobre diferentes provedores de dados de localização e o que geralmente compõe esses dados. Por fim, será necessário enviar um link para um novo repositório em sua conta do Github dedicado a este curso.

WEEK 2
API do Foursquare
Neste módulo, você aprenderá em detalhes sobre o Foursquare, que é o provedor de dados de localização que usaremos neste curso, e sua API. Basicamente, você aprenderá como criar uma conta de desenvolvedor do Foursquare e como usar suas credenciais para pesquisar locais próximos de um tipo específico, explorar um local específico e pesquisar locais populares em uma localização.

WEEK 3
Segmentação e clustering de bairros
Neste módulo, você aprenderá sobre cluster k-means, que é uma forma de aprendizado não supervisionado. Em seguida, você usará o clustering e a API do Foursquare para segmentar e agrupar os bairros na cidade de Nova York. Além disso, você aprenderá como extrair dados de sites e analisar código HTML usando o pacote Python Beautifulsoup, e converter dados em um dataframe do Pandas.

WEEK 4
A Batalha dos Bairros
Neste módulo, você começará a trabalhar no projeto de conclusão. Você definirá um problema com clareza e discutirá os dados que usará para resolvê-lo.

WEEK 5
A Batalha dos Bairros (continuação)
Neste módulo, você executará todo o trabalho restante para terminar o seu projeto de conclusão. Você enviará um relatório do seu projeto para uma avaliação de um colega.

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