Our Books


Python Book


This technical book aim to equip the reader with Python 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 Python programs for Data Mining application.

Contents
1. Introduction
2. Language Essentials I (Variables, Lists, ...)
3. Language Essentials II (Loops, Conditions, ...)
4. OBject Essentials (Modules, Objects and Classes, ...)
5. Data Mining walkthrough with Python (Pandas, Scikit Learn, ...)
6. Conclusion

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R Book


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.

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

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C# Programming Book


This technical book aim to equip the reader with C# programming (C Sharp 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 C# programs such as web browser at the end of the book.

Contents
1. Introduction
2. Language Essentials I (Variables, Arrays, ...)
3. Language Essentials II (Loops, Conditions, ...)
4. OBject Essentials (Polymorphism, Inheritance, ...)
5. GUI Design and Labs
6. Conclusion

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Internet of Things Book


This technical book aim to equip the reader with Arduino 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 Arduino Projects for Internet of Things at the end of the book.

Contents
1. Introduction
2. Basics (IoT, Data Science, Product Design...)
3. Arduino Programming (Variables, Arrays, ...)
4. Digital and Analog I/O (incld. sensors data prediction with regression)
5. Arduino Projects (Servos, DC, IoT)
6. Conclusion

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Why Learn From Us?



We Are Real Developers... Not Fake and Baseless...



DSTK - Data Science ToolKit - Desktop Version


DSTK - DataScience ToolKit is an opensource desktop software for statistical analysis, data visualization, text analysis, and predictive analytics. It is designed to be straight forward and easy to use, and familar to SPSS user. While JASP offers more statistical features, DSTK tends to be a broad solution workbench, including text analysis and predictive analytics features. Under settings, you can specify the software path to use for advanced prediction modeling, data transformation/editing, and python IDE. Of course you may specify JASP for advanced data editing and RapidMiner for advanced prediction modeling...

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Download DSTK - DataScience ToolKit

JAOSS - Online Statistical System


JAOSS - Just Another Online Statistical System. A simple statistical system with fairly sophisticated features such as descriptive statistics analysis, inferential statistics with ANOVA and T-Test, Predictive Analytics with Neural Network. The application is written in R and Shiny, with an aim in mind to provide online access to simplistic statistical system before proceed to advanced softwares such as SPSS or DSTK. This product is currently available as FREEware.

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Demo »

JATAS - Online Text Analysis


JATAS - Just Another Text Analysis System. A simple text analytics system with fairly sophisticated features such as text preprocessing (stemmer, stopwords...), Visualizations, and Predictive Analytics with SVM. The application is written in R and Shiny, with an aim in mind to provide online access to simplistic text analysis system before proceed to advanced softwares such as SPSS Modeler or DSTK. This product is currently available as FREEware..

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Demo »

And We Started Our Online Course...



Create Your Webbrowser - Learn C# Fundamentals Practically


Have you ever wanted to build your own windows GUI program? Whether you are a novice wanting to create your own GUI application, or a professional looking to convey your ideas through software prototyping, this course is for you. This course is specially designed for you to quickly and easily gain all the fundamental skills to create your own windows application, regardless of your background.

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About The Author...






Mr. Eric M. H. Goh

Eric Goh is a seasoned Data Science Researcher and Software Engineer with years of experience in multiple industries. Eric Goh’s varied career includes data and text mining, intelligent systems development, IT project management, engineering product design and researches. During his free time, Eric teaches as an Adjunct Instructor at the University of the People. He started as a teaching assistant while reading in Polytechnic, and eventually teaches courses at Udemy and Private Institution.

For the past years, Eric Goh has researched and developed various projects, which includes the automated unstructured text classification system to enhance the Singapore Custom’s existing product categorization TradeNetSystem. He has years of experience in system development with C#, Java, C/C++, Python, PHP, MySQL, HTML, CSS, and etc. Eric also holds a Masters of Technology degree in Knowledge Engineering (with Machine Learning) from the National University of Singapore, and an Executive MBA degree in IT Management from Universitas 21 Global (currently GlobalNxt) and Indira Gandhi National Open University. He possessed a Graduate Diploma in Mechatronics from A*STAR SIMTech national research institute located in Nanyang Technological University. He also graduated from the University of Portsmouth with a Bachelor of Science Degree in Computing. Eric Goh is a GSTF Certified Big Data Science Analyst (CBDSA), PRINCE2 Practitioner, AIIM Certified Business Process Management Master (BPMM), and Coursera Specialization Certificate in Business Statistics and Analysis from Rice University. More...


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