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Statistical & Spatial Data Analysis & Visualization using R (Understanding and Analyzing Big Data)

March 28, 2022 @ 11:00 AM – April 1, 2022 @ 3:00 PM
Virtual Classroom
Steve Njenga
+254 721 749 239

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

  1. How do you get the R-studio software?

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