Showing 1–10 of 23 results
Advanced R Programming$50.00
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools.
Applied Predictive Analytics$589.00
In this online course, “Applied Predictive Analytics,” you will apply data mining techniques in a real world case study
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.
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.
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.
Building R Packages$50.00
This course covers the primary means by which R software is organized and distributed to others.
Data Mining in R$589.00
In this online course, “Data Mining in R,” you will learn how to partition data and use a holdout sample, how to measure the performance of predictive models, and what to do about the problem of overfitting
Foundations of Data Science$500.00
Launch your Data Science career with this introductory course. Build a solid foundation in R and start exploring data-related careers.
Mapping in R$589.00
In this online course, “Mapping in R,” you will be provided with a very flexible environment for statistical analysis, including a number of facilities to manipulate, visualise and analyse spatial information