Most Technology Training classes will be delivered online until further notice.
Before each sesson, Tech Training will provide a Zoom link for live online classes, along with any required class materials.
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 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, which are as important to business as they are to science. R is well-suited for scientists, engineers, and business professionals.
Prerequisite:
- Basic understanding of programming.
Course Topics Include:
- What is R?
- Introduction to Functional Programming with R
- Managing Your Environment
- R-Type System & Structures
- Extending R
- Read-Write & Import-Export Operations in R
- Statistical Computing Features in R
- Data Manipulation & Transformation in R
- Data Visualization in R
- Using R Efficiently
- Lab Exercises
During and at the end of each session, hands-on exercises will be practiced to:
- 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.
