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R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;
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through the skills you need, using the latest Excel (R) for Windows. You gain the confidence to apply what you learn to real business situations;
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Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course;
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Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a;
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Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;
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R for Cloud Computing looks at some of the tasks performed by business analysts on the desktop (PC era) and helps the user navigate the;
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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;
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Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying;
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and analytical tools. Data Mining and Business Analytics with R utilizes the open source software R for the analysis, exploration, and;
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latest version of Excel (R) in Microsoft (R) Office 365 or Office 2019. Become skilled in the newest Excel functions as well as Analytic Solver;
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assembled around the Insight222 Nine Dimensions in People Analytics (R) model, this book demonstrates how to use people data to increase profits;
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assembled around the Insight222 Nine Dimensions in People Analytics (R) model, this book demonstrates how to use people data to increase profits;
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in the application of modeling tools and concepts. It gives you the "what, why, and how" of using JMP(r) Pro for building and applying analytic;
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studies and numerical illustrations using the R-software package are provided for the benefit of motivated beginners who want to get a head start;
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This book focuses on three core knowledge requirements for effective and thorough data analysis for solving business problems. These are a;
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memorable visuals illustrate data and results for each topic. Step-by-step instructions guide you through using Microsoft (R) Excel, Tableau, R, and;
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potential of this data for their organizations to make better decisions. You have just been handed the keys by finding this book. Readers will;
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techniques using SAS and the R analytical language. This book is ideal for those who are well-versed in writing code and have a basic;
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and unsupervised learning algorithms in R to return values to Tableau. * Make quick, cogent, and data-driven decisions for your business;
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data, presenting models, and evaluating performance. All example code is presented in R, today's #1 system for applied statistics, statistical;
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analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used;
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exercises included, you will be equipped with an understanding of BA, while learning R, a popular tool for statistics and machine learning.;
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The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;
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Kindle formats Practical Time Series Forecasting with R: A Hands-On Guide, Second Edition is the perfect textbook for upper;
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Standard tutorial-based approach. Getting Started with Greenplum for Big Data Analytics is great for data scientists and data analysts with;
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Development includes downloadable tools for learning enrichment, including spreadsheets, Power BI slides, datasets, R analysis steps and more;
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