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Data Science for Business With R

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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Practical Data Science With R

familiarity with R is a plus. ABOUT THE TECHNOLOGY R is a programming language which is used for developing statistical software programs. Data;

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Practical Data Science with R

demand for machine learning and analysis, this new edition boasts additional R tools, modeling techniques, and more. Practical Data;

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Data Science Using Python and R

. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with;

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Business Data Science

learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who;

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Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and;

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Essentials of Data Science and Analytics

This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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Hands-On Data Science with R

Use R for efficient data mining, text analytics and feature engineering Become a thorough data science professional with the help of hands-on;

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R 4 Data Science Quick Reference

data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with;

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The Big RBook

wrangling, data visualization, and the reporting of results. The topics covered are all important for someone with a science/math background that;

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R Data Science Essentials

visualizations and dashboards quickly and without hassle * For better decision making in business, apply the R programming language with the help;

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R 4 Data Science Quick Reference

then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications;

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R for Health Data Science

interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high;

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R for Health Data Science

interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high;

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R Data Science Quick Reference

Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using;

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Practical Big Data Analytics

Big Data storing, processing, analyzing skills to help you take informed business decisions Work with the best tools such as Apache Hadoop, R;

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Beginning Data Science in R 4

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist;

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R for Business Analytics

famous learning curve in learning R. This book is aimed to help you kick-start with analytics including chapters on data visualization, code;

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Programming Skills for Data Science

, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman;

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Applying Data Science

real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code;

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Data Science in Theory and Practice - Techniques for Big Data Analytics and Complex Data Sets

DATA SCIENCE IN THEORY AND PRACTICE EXPLORE THE FOUNDATIONS OF DATA SCIENCE WITH THIS INSIGHTFUL NEW RESOURCE Data Science in Theory;

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Python for R Users

The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python;

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Data Mining For Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro(R) presents an applied and interactive approach to;

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Data Science in Education Using R

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;

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Data Science in Education Using R

Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like;

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SAS for R Users

different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with;

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