Some foxing and/or discoloration around edges. Shows minimal wear such as frayed or folded edges, minor rips and tears, and/or slightly worn binding. May have stickers and/or contain inscription on title page. No observed missing pages.

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Detalles bibliogr�ficos

T�tulo: Murachs Python for Data Science (2nd Edition): Training and Reference
Editor: Mike Murach and Associates Inc
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 1943873178
ISBN 13: 9781943873173
Encuadernaci�n: Encuadernaci�n de tapa blanda
Edici�n: 2� Edici�n
Estado: Good

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Sinopsis

These days, businesses are collecting massive amounts of data. But this data isn’t valuable until someone analyzes it to gain insights that can be used to make decisions. That’s why the US Bureau of Labor Statistics (BLS) predicts that the demand for data analysts will continue to grow for the rest of the decade.Now, with Murach’s Python for Data Science as your guide, you’ll learn how to use Python libraries to get, clean, prepare, and analyze data at a professional level. To start, you’ll learn how to use Pandas for data analysis and Seaborn for data visualization. Then, you’ll learn how to use Scikit-learn to create regression models that you can use to make predictions.To tie everything together, this book contains four realistic analyses that use real-world data. That’s because studying analyses like these is critical to the learning process.

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Scott McCoy is a professional programmer, and has worked in a variety of domains including bioinformatics, IT automation, security, and data analytics. He holds a B.S. in computer science and a Microsoft certification in database technologies. He is a full-time author for Murach Books. In his free time, Scott enjoys reading, hiking, and spending time with his family.