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Explore & visualize data & polish your skills in techniques such as Predictive Analytics, Association Rule Mining & much...
Derive meaning from custom created charts which represent complex data, manipulate this data & create statistical models...
Learn to use R, not just as a statistical tool but to create your own functions, objects and packages
Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc
Perform Analysis of Variance (ANOVA)
Apply various supervised machine learning techniques
Part 1: Core R Programming
Part 2: Data Manipulation Techniques using R programming
Part 3: Statistical Applications using R programming
Part 4: Case Studies