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    SQL FOR DATA SCIENTISTS

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    SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on how to think about constructing your dataset.

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    ISBN9781119669364
    SubtítuloA BEGINNER'S GUIDE FOR BUILDING DATASETS FOR ANALYSIS
    Pré vendaNão
    Peso400g
    Autor para link
    Livro disponível - pronta entregaNão
    Dimensões23.1 x 18.5 x 1.5
    IdiomaInglês
    Tipo itemLivro Importado
    Número de páginas288
    Número da edição1ª EDIÇÃO - 2021
    Código Interno959053
    Código de barras9781119669364
    AcabamentoPAPERBACK
    AutorTEATE, RENEE M. P.
    EditoraWILEY
    Sob encomendaSim

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