Learn By Examples: A Quick Guide to Statistics with R

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SVBook - 86 pages
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 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.

Use the following Coupon to get the Udemy Course at $11.99:

https://www.udemy.com/fundamentals-of-r-for-applied-statistics/?couponCode=EBOOKSPECIAL

 

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Contents

Getting Started
Basics Syntax
Descriptive Statistics
Data Visualizations
Inferential Statistics and Regressions 7 Conclusion

Common terms and phrases

About the author

 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 and extended it with DSTK.Tech (http://dstk.tech) and EMHAcademy.com. DSTK.Tech is where Eric develops his own DSTK data science softwares. Eric also publishes 5 books at LeanPub and SVBook, and teaches the content at Udemy and EMHAcademy.com. During his free time, Eric is also an adjunct faculty at University of the People.

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.

He 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), and Coursera Specialization Certificate in Business Statistics and Analysis from Rice University. He possessed a Bachelor of Science degree in Computing from the University of Portsmouth after National Service. He is also a AIIM Certified Business Process Management Master (BPMM), GSTF certified Big Data Science Analyst (CBDSA), and IES Certified Lecturer.

Specialties: Data Science, Text Mining, Social Network Analysis, Natural Language Processing, Machine Learning, Software Engineering, Mechatronics, Business. 

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