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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence Jay Gendron

Język publikacji: angielskim
Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence Jay Gendron - okladka książki

Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence Jay Gendron - okladka książki

Autor:
Jay Gendron
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
228
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Prezent last minute w ebookpoint.pl
Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance.
In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards.
After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence.

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O autorze książki

Jay Gendron is an associate data scientist working with Booz Allen Hamilton. He has worked in the fields of machine learning, data analysis, and statistics for over a decade, and believes that good questions and compelling visualization make analytics accessible to decision makers. Jay is a business leader, entrepreneurial employee, artist, and author. He has a B.S.M.E. in mechanical engineering, an M.S. in management of technology, an M.S. in operations research, and graduate certificates for chief information officer and IT program management. Jay is a lifelong learnera member of the first cohort to earn the 10-course specialization in data science by Johns Hopkins University on Coursera. He is an award-winning speaker who has presented internationally and provides pro bono data science expertise to numerous not-for-profit organizations to improve their operational insights. Connect with Jay Gendron at https://www.linkedin.com/in/jaygendron, visit https://jgendron.github.io/, or Twitter @jaygendron.

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