Modern cyber security analysts apply analytics driven approach to identify complex threats like APT by processing large amount of information from different sources, including email and social activity, full-packet and Domain Name System captures, business process data, external threat feeds such as IBM X-Force, malware information, network flows and anomalies. Cyber security and threat intelligence are the need of the hour. R is widely recognized as the world's most powerful data analytics software. As a Free and Open Source Software, R has been developed and maintained by a community of passionate enthusiasts, who have been developing modules for extending the capabilities of the base R package. R employs sophisticated modeling techniques such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and graphical techniques, and is highly extensible. Tableau is a Data Analytics tool for visually analyzing the data stored in files, relational and Big data sources directly. It facilitates creation and distribution of interactive and shareable dashboards which depict the trends, variations and density of the data in form of graphs and charts. This program aims at meeting a growing need for expertise in Data Analytics among the faculty and researchers of Computer Science. The one week training program will expose the participants to a comprehensive overview and hands-on experience in R for Data Analytics/Mining and Data Visualization with Tableau. The participants will learn how to prepare data for analysis, compute various statistical measures, create meaningful data visualizations, create R models for prediction and Extract patterns by clustering and more.