Lee Jung-ah et al.: Data Analysis Preview

Today, as the Big Data age approaches, there's a huge amount of data being produced in one day, and data analysis is a vital technology in many fields. Data analysis is the process of analyzing data collected and producing meaningful information. We can get meaningful information from various fields of data analysis, including corporate decision making, public policy building, socialization, and we can make better decisions and discover new opportunities. And it's not unusual to say that data is the key component of the fourth industrial revolution, from analysis of data to multiple fields of artificial capacity. This book is designed to help anyone learn data analysis, from the basics of data analysis to the practice of using a variety of packages. You can run code directly in a web browser using Google Cap, and you can start data analysis without setting up an extra environment. The book is made up of:. So, in chapter one, we're going to introduce the development environment for data analysis. Two chapters learn about basic grammars of Python programming. Three chapters introduces the library for Big Data analysis, Padas, and NumPy. In the fourth chapter, we're going to talk about MattPladLub, Sybun, Follion to visualize big data analysis. In chapter five, we'll look at how you can use the actual analysis in an example of a search data analysis project. Six chapters are about understanding machine learning and how to actually apply it.

Korean title: 데이터 분석 맛보기

Korean author: 이정아 외

Korean publisher: 청람

ISBN-13: 9788959723256