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Introducing Data Science: Big Data, Machine Learning, and More, Using Python Tools
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Introducing Data Science: Big Data, Machine Learning, and More, Using Python Tools
Master big data with Python and become a data scientist.
Introducing Data Science: Big Data, Machine Learning, and More, Using Python Tools
Item #: 189909121

Introducing Data Science: Big Data, Machine Learning, and More, Using Python Tools

Item #: 189909121

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  • DESCRIPTION Data Science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to machine learning, but the prerequisite knowledge and experience for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started. Introducing Data Science teaches readers how to accomplish the fundamental tasks that occupy data scientists. They’ll use the Python language and common Python libraries as they experience firsthand the challenges of dealing with data at scale. They’ll discover how Python allows them to gain insights from huge data sets that need to be stored on multiple machines, or for data moving at such speed no single machine can handle it. After reading this book, readers will have a solid foundation to consider a career in data science. KEY SELLING POINTS Master big data with Python and become a data scientist How to use data science in a big data world Gain hands on experience with the most common Python data science libraries AUDIENCE This book assumes readers (software engineers, business intelligence reporters, database moderators, statisticians, web developers, anyone interested in Big Data) are comfortable reading code in Python or a similar language, such as C, Ruby, or JavaScript. No prior experience with data science is required. ABOUT THE TECHNOLOGY At its core, data science is a set of concepts and techniques for extracting meaning and clarity from enormous stored data sets or fast-moving data streams. Data scientists write programs to interpret these data. The Python programming language is a favorite tool of data scientists because it's easy to read and write, and it provides several high-value libraries that simplify core tasks like statistics, machine learning algorithms, and mathematics.
Publisher Manning Publications
Publication date 23 May 2016
Edition 1st
Language English
Print length 320 pages
ISBN-10 9781633430037
ISBN-13 978-1633430037
Item weight 544 g
Dimensions 18.75 x 1.78 x 23.5 cm

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  • Question: Do I need prior experience in data science to read this book?

    Answer: No, no prior data science experience is required.
  • Question: What programming language does the book focus on?

    Answer: The book focuses on the Python programming language.
  • Question: Who is the target audience for this book?

    Answer: The target audience includes software engineers, business intelligence reporters, statisticians, and anyone interested in Big Data.

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Features & Benefits

  • Learn essential data science skills using Python.
  • Gain hands-on experience with popular Python libraries.
  • Understand how to manage and analyze large data sets.
  • No prior data science experience is needed.
  • Designed for various professionals including software engineers and web developers.
  • Build a solid foundation for a career in data science.

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