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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization

(ebook) (audiobook) (audiobook) Książka w języku 1
Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler - okladka książki

Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler - okladka książki

Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler - audiobook MP3

Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler - audiobook CD

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Bądź pierwszym, który oceni tę książkę
Stron:
178
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Do przechowalni

Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.

Moving from data visualization into deeper, more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.

By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.

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O autorach książki

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.
Jen Stirrup is a data strategist and technologist, a Microsoft Most Valuable Professional (MVP), and a Microsoft Regional Director, a tech community advocate, a public speaker and blogger, a published author, and a keynote speaker. Jen is the founder of a boutique consultancy based in the UK, Data Relish, which focuses on delivering successful business intelligence and artificial intelligence solutions that add real value to customers worldwide. She has featured on the BBC as a guest expert on topics relating to data.

Ruben Oliva Ramos, Jen Stirrup, Roberto Rösler - pozostałe książki

Packt Publishing - inne książki

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