Cyber attackers are constantly evolving their mode of assault as they target sensitive data, financial assets and operations. The traditional information security approaches of simply reacting to attacks and traffic evolution is costing organizations and government billions. It is essential to apply descriptive, predictive and prescriptive machine learning algorithms and techniques for cyber security analytics.
This training program aims at meeting a growing need in Data Analytics among the Research Scholars and Students. The one week training program will expose the participants to a comprehensive overview of R in Data Mining, Analytics, Visualization and provides a hands-on experience in applying them. The participants will learn how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, create reusable R functions, create R models to predict expected future outcomes, and more!
1.Introduction to R Programming
2.Probability Distributions and Statistics
3.Graphical Features in R
5.Regression, Classification and Clustering with Case Studies