Showing all 9 results
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.
Code Clinic: R$0.00
Explore solutions to common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.
Creating Interactive Presentations with Shiny and R$200.00
Analyzing big data is great, but not if you can’t share your results. In this course, Martin Hadley shows how to create interactive presentations of large data sets with R, RStudio, and Shiny, an R-based tool for producing interactive, web-ready data visualizations.
Foundations of Data Analysis – Part 1: Statistics Using R$0.00
Use R to learn fundamental statistical topics such as descriptive statistics and modeling.
Foundations of Data Analysis – Part 2: Inferential Statistics$0.00
In the second part of a two part statistics course, we’ll learn how to take data and use it to make reasonable and useful conclusions.
R Programming from Scratch$0.00
Learn R and become Data Scientist
This is an introductory-level course in supervised learning, with a focus on regression and classification methods.
Statistics and R$0.00
We will learn the basics of statistical inference in order to understand and compute p-values and confidence intervals, all while analyzing data with R
The Analytics Edge$0.00
Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life.