R Course Finder
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After taking this online course, “Bayesian Statistics in R” you will be able to install and run rjags, a program for Bayesian analysis within R.
This course describes Bayesian statistics, in which one’s inferences about parameters or hypotheses are updated as evidence accumulates
Beginner to Advanced Guide on Machine Learning with R Tool
Learn Machine Learning with the help of R programming
Beginning Data Visualization with R$25.00
Learn how to create and interpret basic data visualization using the programming language R.
Big Data: Measuring and Predicting Human Behaviour$0.00
Join us to explore how the vast amounts of data generated today can help us understand and even predict how humans behave.
Big Data: Statistical Inference and Machine Learning$0.00
Learn how to apply selected statistical and machine learning techniques and tools to analyse big data.
Biostatistics in R with Clinical Trial Applications$589.00
This online course, “Biostatistics in R: Clinical Trial Applications” covers the implementation in R of statistical procedures important for the clinical trial statistician.
Bond Valuation and Analysis in R$20.00
Why value bonds? Bonds are securities issued by governments or corporations that pay interest over a fixed schedule and are the most well-known type of fixed income securities.
Building Data Visualization Tools$50.00
Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.
Building R Packages$0.00
This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN.