Data Types and Structures in R , Inputting & Outputting Data, Writing User-Defined Functions, and Manipulating Data Sets
Learn the important features of the base, ggplot and lattice ("trellis") graphical capabilities in R
How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.
Learn to use the GUI-based comprehensive Data Miner data mining software suite implemented as the rattle package in R
Course describes and demonstrates a creative approach for constructing and drawing grid-based multivariate graphs in R
Learn to use R software to conduct PCAs, MDSs, cluster analyses, EFAs and to estimate SEM models.
Learn the concepts of the PLS algorithm, reliability and validity, bootstrapping, mediation and moderation.
How to design and develop efficient general-purpose R applications for diverse tasks and domains.
Learn to use the "Data Mining with R" (DMwR) package and R software to build and evaluate predictive data mining models.
Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.
How to extend linear regression to specify and estimate generalized linear models and additive models.
An introductory course that teaches the foundations of scientific and statistical programming using R software.
Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.
The basics of programming in R: R data structures; R subsetting operations; and R functions
Learn how to use R for data science tasks, all about R data structures, functions and visualizations, and statistics.
Understanding R graphics, how to set up "real-world" simulations, and how to process non-numeric character and text in R
Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.
Learn to model with R: ANOVA, regression, GLMs, survival analysis, GAMs, mixed-effects, split-plot and nested designs
Learn to create your own sophisticated Shiny applications by practicing with dozens of detailed Shiny Examples !
