Qualifying ParticipantsIndividuals who have a basic statistical and analytical background. It is best suited for those with the capability of leveraging applied science with R. Participants should be able to utilize these skill sets to conduct data visualization, data analysis, and statistical/predictive models, besides, present final reports by different R functions and packages.
Testing StandardsBasic Theory: Statistics, Probability, Data Mining, Data Processing, Data Visualization, Machine Learning modelingTools and Software Requirements: R
Prerequisite Skills: Ability to utilize R to generate data visualization reports through implementing data control, data processing, data cleaning, analysis, modeling and related tasks.
Exam Topics• Foundations of R (data types, data frames, loops, basic graphs)• Data Manipulation Packages (dplyr, tidyr)• Data Visualization Packages(ggplot2, Rshiny)• Basic Machine Learning (Linear Regression, Logistic Regression, Decision Tree, Random Forest…)