- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
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.
- Basic understanding of programming.
- scientists, engineers, and business professionals.
- scientists, engineers, and business professionals.
Course Outline:
The course includes presentations, demonstrations, and hands-on labs.
- 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
Training material provided: Yes (Digital format)
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