Learn By Examples - A Quick Guide To Data Science With Python

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SVBook - 101 pages
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 This book aim to equip the reader with Python Programming and Data Science basics. There will be many examples and explanations that are straight to the point. You will be walked through data mining process from data preparation to data analysis (descriptive statistics) and data visualization to prediction modeling (machine learning) and deployment using Python.

Content Covered:

IntroductionGetting Started (Installing WinPython, IDE, ...)Language Essentials (variables, list, data types manipulations, ...)Language Essentials II (conditional statements, loops, ...)Object Essentials (Modules, Class and Objects, ...)Data Mining with Python (Pandas, ScikitLearn, ...)

We will be using opensource tools and IDE, hence, you don't have to worry about buying any softwares. The book is designed for non-programmers only. It will gives you a head start into python programming, with a touch on data mining.

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-python-for-data-mining/?couponCode=EBOOKSPECIAL


ISBN: 978-163535299-3

 

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Contents

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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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