With the advent of big data, there is an increased focus on data mining and the value that can be derived from large data sets. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown information for business benefit.
R is an open source software environment for statistical computing and graphics and is very popular with data scientists. R is being used for data analysis, extracting and transforming data, fitting models, drawing inferences, making predictions, plotting, and reporting results. Learn how to use R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics.
Anyone interested in learning to use data mining techniques to find insights in data and who has at least some statistical and programming experience.
Course Objectives
Course Structure
Modules:
Module 1 Overview
Topics:
Module 2 Overview
Topics:
Module 3 Overview
Topics:
Module 4 Overview
Topics:
Module 5 – Summary
Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.