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Python para ciência de dados

Track :

Programming
Course Presenter :

estude org

Lessons no : 9

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What will you learn in this course?
  • Master data collection, cleaning, and preprocessing using Python libraries like Pandas and NumPy for data analysis
  • Create insightful data visualizations and interactive charts with Matplotlib and Seaborn for effective communication of findings
  • Apply statistical concepts and exploratory data analysis techniques to uncover patterns and trends in datasets
  • Develop predictive models using Scikit-learn to solve real-world data science problems and improve decision-making
  • Interpret data analysis results accurately to generate strategic insights and support business decisions
  • Build comprehensive data reports and dashboards for presenting complex data insights clearly and effectively

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Lessons | 9


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Isaias E. Dário Joaquim 

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2025-10-21

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Python para ciência de dados, neste curso ensina como utilizar a linguagem Python para coletar, limpar, analisar e visualizar dados de forma eficiente. O aluno aprenderá a trabalhar com bibliotecas essenciais como NumPy, Pandas, Matplotlib e Seaborn, além de compreender conceitos de estatística e análise exploratória. O curso aborda desde a importação e tratamento de grandes volumes de dados até a criação de gráficos interativos e relatórios analíticos. Também introduz técnicas de machine learning com Scikit-learn, permitindo aplicar modelos preditivos em problemas reais. Ao final, o aluno estará preparado para atuar em projetos de ciência de dados, interpretando informações e transformando dados brutos em insights estratégicos para a tomada de decisão. estude org