Big data is a fast-growing field and skills in the area are some of the most in demand today. You’ll begin by examining how big data is collected and stored, before going on to explore how statistical inference, machine learning, mathematical modeling and data visualization are used in its analysis. You’ll become familiar with predictive analysis, dimension reduction, machine learning, clustering techniques and decision trees, before going on to look at the math’s that underpins many of the tools you can use to manage and analyze big data. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible — increasing the potential for data to transform our world!