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.
Reviews For This Service