Mastering Software Development in R

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. It covers basic R concepts, language fundamentals, and tasks like handling complex and large datasets, and processing textual data. Upon completion, learners will have fluency at the R console and the ability to create tidy datasets from various data sources.

Advanced R Programming covers topics necessary for developing powerful, robust, and reusable data science tools. It includes functional programming, error handling, object-oriented programming, profiling, benchmarking, debugging, and designing functions. Learners will be able to abstract common data analysis tasks and encapsulate them in user-facing functions, as well as define new data types and develop functionality specific to those data types.

Building R Packages course covers the organization and distribution of R software. It includes R package development, writing 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 meet the criteria for submission to CRAN.

Building Data Visualization Tools provides skills for creating new visualization building blocks using the ggplot2 framework. Learners will be able to build and extend the system to suit specific organizational needs, visualize a wide variety of data types, and address new data types as they emerge.

The Mastering Software Development in R Capstone is the final project of the Specialization, allowing learners to apply the skills and knowledge gained throughout the modules to a real-world data science project.