When:
March 28, 2022 @ 11:00 AM – April 1, 2022 @ 3:00 PM
2022-03-28T11:00:00+03:00
2022-04-01T15:00:00+03:00
Where:
Virtual Classroom
Contact:
Course Description:
R is an open-source programming language that provides a wide variety of statistical, spatial and graphical techniques. R has “become the de-facto standard for writing statistical software among statisticians. This course will give you a solid introduction to creating statistical and spatial analysis solutions using the R language, and how to carry out a range of commonly used analytical processes.
Course Objectives:
The course will:
- Introduce participants to R as a quantitative data analysis tool
- Enable learner master R software and R-studio as a user interface
- Enable learner import data from various sources
- Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions
- Provide essential skills for data manipulation including selecting subsets and recoding
- Introduce the visual representation of variables in scatter graphs, bar charts, and histograms
- Introduce users to the use of R for spatial data analysis and map making
NB: Basic knowledge in coding is required.
Course Outline
Day 1: Introduction to R/ R Studio
Day 2: Data Quality Check and Exploration
Day 3: Statistical Analysis in R
Day 4: An Introduction to Spatial Data Analysis in R
Day 5: Mapping and Visualization using R
Award of Certificates
How do you get the R-studio software?
R studio is a Free open source software