Computing with Data An Introduction to the Data Industry /

• Main Authors: Lebanon, Guy (Author, http://id.loc.gov/vocabulary/relators/aut), El-Geish, Mohamed (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Subjects: Artificial intelligence.; Data mining.; Programming languages (Electronic computers).; Statistics .; Engineering economics.; Engineering economy.; Artificial Intelligence.; Data Mining and Knowledge Discovery.; Programming Languages, Compilers, Interpreters.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Engineering Economics, Organization, Logistics, Marketing.

This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expan...

Table of Contents:

• 1 Introduction: How to Use This Book?
• 2 Essential Knowledge: Hardware
• 3 Essential Knowledge: Operating Systems
• 4 Learning C++
• 5 Learning Java
• 6 Learning Python and a Few More Things
• 7 Learning R
• 8 Visualizing Data in Python and R
• 9 Processing Data in Python and R
• 10 Essential Knowledge: Parallel Programming
• 11 Essential Knowledge: Testing
• 12 A Few More Things about Programming
• 13 Essential Knowledge: Data Stores
• 14 Thoughts on System Design for Big Data
• 15 Thoughts on Software Craftsmanship.