Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm.
From government and universities to new start-ups and big tech like Google or Microsoft, the use of R big data and data science has become a standard tool. R is a simple and powerful language, but, it can be slow and inefficient if not used properly. This class introduces you to the foundations of R programming, but also focuses on the efficiency of data processing.
This course will allow the student to learn, in detail, the fundamentals of the R language and additionally master some of the most efficient libraries for data visualization in chart, graph, and map formats. The student will learn the language and applications through examples and practice. No prior programming skills are required.
- Module 1: Introduction to R
- Module 2: Loading Data into R
- Module 3: Creating Tidy Data
- Module 4: Transforming Data
- Module 5: Data Exploration
- Module 6: Data Visualization (Charts and Graphs)
- Module 7: Spatial Visualization
- Module 8: R Markdown
- Module 9: Case Studies
You can also register for classes using our registration form.