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Learn By Examples: A Quick Guide to Statistics with R
This book is 100% completeLast updated on 2018-06-20
A technical book aimed to equip the reader with R programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point.
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About
About the Book
This book has been published at https://www.apress.com/in/book/9781484241998
with more R Programming Content.
This technical book aim to equip the reader with R programming fundamentals in a fast and practical way. There will be many examples and explanations that are straight to the point. You will develop your own R programs for Statistical application for Data Exploration in Data Mining. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech
Contents
1. Introduction
2. R Syntax (Variables, Lists, ...)
3. Descriptive Statistics (Standard Deviation, Percentile, ...)
4. Data Visualizations (boxplot, histogram, scatter, ...)
5. Inferential Statistics (ANOVA, Wilcoxon, ...)
6. Conclusion
This book has been taught at Udemy and EMHAcademy.com.
Author
About the Author
Eric Goh
Eric Goh is a data scientist, software engineer, adjunct faculty and entrepreneur with years of experiences in multiple industries. His varied career includes data science, data and text mining, natural language processing, machine learning, intelligent system development, and engineering product design. He founded SVBook Pte. Ltd. and extended it with DSTK.Tech and EMHAcademy.com. DSTK.Tech is where Eric develops his own DSTK data science softwares (public version). Eric also published “Learn R for Applied Statistics” at Apress, and published some books at LeanPub and SVBook Pte. Ltd. He teaches the content at Udemy and EMHAcademy.com, and developed 28 courses, 7 advanced certificates. Eric is also an adjunct faculty at Universities and Institutions, which is a consultancy from EMHAcademy.com.
Eric Goh has been leading his teams for various industrial projects, including the advanced product code classification system project which automates Singapore Custom’s trade facilitation process, and Nanyang Technological University's data science projects where he develop his own DSTK data science software. He has years of experience in C#, Java, C/C++, SPSS Statistics and Modeller, SAS Enterprise Miner, R, Python, Excel, Excel VBA and etc. He won Tan Kah Kee Young Inventors' Merit Award and Shortlisted Entry for TelR Data Mining Challenge.
Eric holds a Masters of Technology degree from the National University of Singapore, an Executive MBA degree from U21Global (currently GlobalNxt) and IGNOU, a Graduate Diploma in Mechatronics from A*STAR SIMTech (a national research institute located in Nanyang Technological University), Coursera Specialization Certificate in Business Statistics and Analysis (Excel) from Rice University, IBM Data Science Professional Certificate (Python, SQL), and Coursera Verified Certificate in R Programming from Johns Hopkins University. He possessed a Bachelor of Science degree in Computing from the University of Portsmouth after National Service. He is also an AIIM Certified Business Process Management Master (BPMM), GSTF certified Big Data Science Analyst (CBDSA), and IES Certified Lecturer.
During free time, Eric holds a Career Diploma in Graphic Design with Honors from Ashworth College in 2017, and has used Solidworks, Inventor in Singapore University of Technology and Design. He knows Blender. He has a National Survival Swimming Bronze Award Certificate in 1997 and is PADI Advanced SCUBA Diver in 2016. He learnt cooking since young and has Udemy Certificate in "China Table: Learn to Cook Traditional Chinese Cuisine" in 2016.
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