Big data analytics made outstanding achievements in the fields of business, science, public policy, etc. While experts are familiar with the theory and software, it has been challenging for non-experts to use software programs since it requires skills in programming, mathematical background, and statistical knowledge. In this project, we present Big Data Analytics Tools, an educational Python resource designed for a public willing to learn fundamental ideas in performance-oriented software and utilize data analytics tools in real-world scenarios. Big data analytics contains an educational Application Programming Interface (API), educational procedures from data cleaning to machine learning techniques for individuals who learn or develop from scratch. The data analytics tools paved the way for analyzing simulations on high-dimensional data with step-by-step instructions. Big data analytics tool is an open-source tool which manages and assesses the investigations of high-dimensional data, providing significant evaluation over a large number of data.
저자
Juyong Ko [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
Donggeun Kim [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
Jai Woo Lee [ Department of Big Data Science, College of Public Policy, Korea University, Sejong ]
