Description
Data Science using R is designed to cover majority of the capabilities of R from Analytics & Data Science perspective, which includes the following: Learn about the basic statistics, including measures of central tendency, dispersion, skewness, kurtosis, graphical representation, probability, probability distribution, etc. Learn about scatter diagram, correlation coefficient, confidence interval, Z distribution & t distribution, which are all required for Linear Regression understandingLearn about the usage of R for building Regression models Learn about the K-Means clustering algorithm & how to use R to accomplish the sameLearn about the science behind text mining, word cloud, sentiment analysis & accomplish the same using RLearn about Forecasting models including AR, MA, ES, ARMA, ARIMA, etc., and how to accomplish the same using RLearn about Logistic Regression & how to accomplish the same using R
