Description:

In this hands-on course, the R programming language is taught with the objectives to collect, analyze, and visualize datasets from various sources, and apply practical statistical data analysis.

This two-day training course will help you to learn the practical aspects of the R programming language. Hands-on labs will allow attendees to immediately apply their theoretical knowledge in practice. R has various packages covering a wide range of topics such as econometrics, finance, and time series. R has best-in-class tools for visualization, reporting, and interactivity

Course Code/Duration:

BDT164 / 3 Days

Learning Objectives:

• Building data frames, selecting specific rows and columns, adding columns, and applying functions on columns that contain date values
• Downloading public data into R, applying manipulation functions on data records, and summarizing insights from data
• Merging datasets by foreign keys, reshaping datasets, selecting random samples from data-frames, and aggregating columns by other columns.
• Creating different data visualizations and saving them in different formats.