10.5 hours

Data Types and Structures in R , Inputting & Outputting Data, Writing User-Defined Functions, and Manipulating Data Sets

From $9.99

8.5 hours

Learn the important features of the base, ggplot and lattice ("trellis") graphical capabilities in R

From $9.99

10.5 hours

How to perform market basket analysis, analyze social networks, mine Twitter data, text, and time series data.

From $9.99

15 hours

Learn to use the GUI-based comprehensive Data Miner data mining software suite implemented as the rattle package in R

From $9.99

7 hours

Course describes and demonstrates a creative approach for constructing and drawing grid-based multivariate graphs in R

From $9.99

12 hours

Learn to use R software to conduct PCAs, MDSs, cluster analyses, EFAs and to estimate SEM models.

From $9.99

10.5 hours

Learn the concepts of the PLS algorithm, reliability and validity, bootstrapping, mediation and moderation.

From $9.99

25 hours

How to design and develop efficient general-purpose R applications for diverse tasks and domains.

From $9.99

22 hours

Learn to use the "Data Mining with R" (DMwR) package and R software to build and evaluate predictive data mining models.

From $9.99

12 hours

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.

From $9.99

8 hours

How to extend linear regression to specify and estimate generalized linear models and additive models.

From $9.99

11 hours

An introductory course that teaches the foundations of scientific and statistical programming using R software.

From $9.99

11.5 hours

Learn to program statistical applications and Monte Carlo simulations with numerous "real-life" cases and R software.

From $9.99

8 hours

The basics of programming in R: R data structures; R subsetting operations; and R functions

From $9.99

19.5 hours

Learn how to use R for data science tasks, all about R data structures, functions and visualizations, and statistics.

From $9.99

12.5 hours

Understanding R graphics, how to set up "real-world" simulations, and how to process non-numeric character and text in R

From $9.99

11.5 hours

Learn the concepts and practical side of using the Bayesian approach to estimate likely event outcomes.

From $9.99

14.5 hours

Learn to model with R: ANOVA, regression, GLMs, survival analysis, GAMs, mixed-effects, split-plot and nested designs

From $9.99

8.5 hours

Learn to create your own sophisticated Shiny applications by practicing with dozens of detailed Shiny Examples !

From $9.99