Statistics : Descriptive analysis, Predictive analysis (hypothesis testing, analysis of variance, regression analysis). Regression Analysis such as linear regression, logistic regression, generalized linear models (GLM, quantile regression, mixed regression model Data Mining and Machine learning : Clustering, classification and recommendation systems, sentiment analysis, sequence analysis, web mining and text mining Optimisation and numerical methods : Using tools such as R Statistics, Matlab, Python(Pandas, Numpy etc), Java (WEKA) NoSql and Sql Database Parallel and distributed Processing. Hadoop and Big data implementations.