Practical Data Analysis : Transform, Model, and Visualize Your Data Through Hands-on Projects, Developed in Open Source Tools
Each chapter of the book quickly introduces a key 'theme' of Data Analysis, before immersing you in the practical aspects of each theme. You'll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle.
- Paperback | 360 pages
- 190.5 x 234.95 x 20.83mm | 775.64g
- 01 Nov 2013
- Packt Publishing Limited
- Birmingham, United Kingdom
- black & white illustrations
About Hector Cuesta
Hector Cuesta holds a B.A in Informatics and M.Sc. in Computer Science. He provides consulting services for software engineering and data analysis with experience in a variety of industries including financial services, social networking, e-learning, and human resources. He is a lecturer in the Department of Computer Science at the Autonomous University of Mexico State (UAEM). His main research interests lie in computational epidemiology, machine learning, computer vision, high-performance computing, big data, simulation, and data visualization. He helped in the technical review of the books, Raspberry Pi Networking Cookbook by Rick Golden and Hadoop Operations and Cluster Management Cookbook by Shumin Guo for Packt Publishing. He is also a columnist at Software Guru magazine and he has published several scientifi c papers in international journals and conferences. He is an enthusiast of Lego Robotics and Raspberry Pi in his spare time. You can follow him on Twitter at https://twitter.com/hmCuesta.