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Publicado por Packt Publishing Limited, GB, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
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Añadir al carritoPaperback. Condición: New. Enhance your data analysis and predictive modeling skills using popular Python toolsKey FeaturesCover all fundamental libraries for operation and manipulation of Python for data analysisImplement real-world datasets to perform predictive analytics with PythonAccess modern data analysis techniques and detailed code with scikit-learn and SciPyBook DescriptionPython is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.Become a Python Data Analyst introduces Python's most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations.In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.By the end of this book, you will have hands-on experience performing data analysis with Python.What you will learnExplore important Python libraries and learn to install Anaconda distributionUnderstand the basics of NumPyProduce informative and useful visualizations for analyzing dataPerform common statistical calculationsBuild predictive models and understand the principles of predictive analyticsWho this book is forBecome a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
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EUR 34,32
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Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
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Publicado por Packt Publishing Limited, GB, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 35,91
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Añadir al carritoPaperback. Condición: New. Enhance your data analysis and predictive modeling skills using popular Python toolsKey FeaturesCover all fundamental libraries for operation and manipulation of Python for data analysisImplement real-world datasets to perform predictive analytics with PythonAccess modern data analysis techniques and detailed code with scikit-learn and SciPyBook DescriptionPython is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.Become a Python Data Analyst introduces Python's most essential tools and libraries necessary to work with the data analysis process, right from preparing data to performing simple statistical analyses and creating meaningful data visualizations.In this book, we will cover Python libraries such as NumPy, pandas, matplotlib, seaborn, SciPy, and scikit-learn, and apply them in practical data analysis and statistics examples. As you make your way through the chapters, you will learn to efficiently use the Jupyter Notebook to operate and manipulate data using NumPy and the pandas library. In the concluding chapters, you will gain experience in building simple predictive models and carrying out statistical computation and analysis using rich Python tools and proven data analysis techniques.By the end of this book, you will have hands-on experience performing data analysis with Python.What you will learnExplore important Python libraries and learn to install Anaconda distributionUnderstand the basics of NumPyProduce informative and useful visualizations for analyzing dataPerform common statistical calculationsBuild predictive models and understand the principles of predictive analyticsWho this book is forBecome a Python Data Analyst is for entry-level data analysts, data engineers, and BI professionals who want to make complete use of Python tools for performing efficient data analysis. Prior knowledge of Python programming is necessary to understand the concepts covered in this book.
Publicado por Packt Publishing Limited, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 39,73
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Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
EUR 30,87
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Añadir al carritoCondición: New. Become a Python Data Analyst (Paperback or Softback) 0.7.
Publicado por Packt Publishing 2018-08-31, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
EUR 25,61
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Publicado por Packt Publishing, United Kingdom, 2018
ISBN 10: 1789531705 ISBN 13: 9781789531701
Idioma: Inglés
Librería: True Oak Books, Highland, NY, Estados Unidos de America
Miembro de asociación: IOBA
Original o primera edición
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Añadir al carritoPaperback. Condición: Very Good+. First Edition. 169 pages; Very Good condition. No noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence.
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EUR 32,16
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Añadir al carritoCondición: New. Become a Python Data Analyst book introduces you to the mainstream libraries of Python s Data Science stack. With proven examples and real-world datasets, this book teaches how to effectively perform data manipulation, visualize and analyze data patterns an.
Librería: Best Price, Torrance, CA, Estados Unidos de America
EUR 24,18
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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