Kim Gye-su: Data Analysis and Visualization using Python

The walls of data analysis are low and highly available. This book is based on solving problems and creating values through analytical-based data science. To do so, we tried to capture the basics of data analysis, and the advanced knowledge of machine-murning and artificial intelligence, as easy and systematic as possible. The goal of this book is three. The first is to encourage readers to contribute to the creation of values in their own research by cultivating confidence in data science. The second is to make sure that there's a lot of applications to do this. And thirdly, it's trying to show you how to effectively visualize the results of the analysis through visualization. The author of the program has been trying to do a long and varied data analysis using the various programs (excell, 01, shS, R, pchs, CMA, etc.). One of the most simple and productive programming languages in the world, the #2 could be entered in a world of data analysis, even if it was not a statistician or computer major. The parallels that are available to anyone for free use and for any platform, and for multiple applications of data accessibility and visual libraries, make it useful to the reader in a variety of fields that require data analysis. The basics of data analysis, the advanced analysis of machine-murning and artificial intelligence. For systematic learning, from the basics of data analysis to advanced analysis, the text was made up of basics, mediums and advanced ones.

Korean title: Python을 이용한 데이터 분석과 시각화

Korean author: 김계수

Korean publisher: 한나래아카데미

ISBN-13: 9788955662405