Data warehouse and Data mining

• Understanding Data through Statistical and visualization techniques

• Identify data quality and handle missing value

• Data Preprocessing by Data Discretization Binning and Feature Subset Selection

• Attribute Transformation and Dimensionality Reduction

• Decision tree and its performance metrics

• Naive Bayes Classifier

• SVM

• K-means Clustering

• Association analysis using Apriori algorithm