Primeiros Passos com Pandas
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- Ganhe proficiência em estruturas de dados pandas como DataFrame e Series.
- Compreenda funções estatísticas para calcular correlações, modas, medianas e valores extremos em conjuntos de dados.
- Desenvolva técnicas para gerenciar valores ausentes, incluindo estratégias para manipulação e remoção.
- Adquira conhecimento sobre manipulação de arquivos de dados com pandas, com foco em formatos CSV e TXT.
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There are 6 modules in this course
Pandas é uma biblioteca extremamente amigável para análise de dados. Também é projetada para lidar com grandes conjuntos de dados, usando estruturas de dados como DataFrame e Series. Isso a torna uma ferramenta inestimável para Ciência de Dados. Neste guia, você se familiarizará com uma variedade de funções estatísticas, incluindo como encontrar correlações, modas, medianas e valores máximos e mínimos dentro de um conjunto de dados. Você também aprenderá a lidar com valores ausentes e manipular valores específicos, bem como como removê-los.- O Que É Pandas?Preview
- SériesPreview
- Desafio: Criando uma SériePreview
- Quadro de DadosPreview
- Quiz: Criando uma SériePreview
- Quiz: Criando um DataFramePreview
- Adicionando uma Nova ColunaPreview
- Inserindo uma Nova ColunaPreview
- Excluindo uma Linha/ColunaPreview
- Quiz: Correspondência das FunçõesPreview
- Trabalhando com ColunasPreview
- Quiz: Extraindo ColunasPreview
- Conceitos Básicos de ilocPreview
- Desafio: Usando ilocPreview
- Visualizando os DadosPreview
- Quiz: Usando HeadPreview
- Quiz: Head, Tail e SamplePreview
- Explorando o Conjunto de DadosPreview
- Nomes das Colunas e Tipos de DadosPreview
- Encontrando Valores NulosPreview
- Quiz: Identificando Valores NulosPreview
- Desafio: Eliminando Valores NulosPreview
- Desafio: Preenchendo Valores NulosPreview
- Quiz: Valores NulosPreview
- Descrevendo os DadosPreview
- Max() e Min()Preview
- Quiz: Operações EstatísticasPreview
- Sum() e Count()Preview
- Valores ÚnicosPreview
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