Data Analysis with R

Course Description

This course is intended to give attendees the skills required to use R for data analysis, data visualization and model building. Attendees are not expected to have prior R programming experience.
2 Days
Contact us for pricing
 

Who should attend

This course is for people who work with data, are new to R, and would like to use R to analyse and visualise data sets.

Learning Outcomes

At the conclusion of this course, attendees will be able to:
• Import data into the R/R studio environment
• Clean and transform data
• Split and combine datasets
• Write functions to carry out repetitive tasks
• Visualise data sets with ggplot
• Use the Tidyverse packages to transform and clean data
• Create models, including regression and classification types

Day 1: Content headings

INTRODUCTION TO R
Using R, RStudio, and Installing Useful Packages
Variable Types and Data Structures
Basic Flow Control
Data Import and Export
Getting Help with R

DATA VISUALIZATION AND GRAPHICS
Creating Base Plots
ggplot2
Interactive Plots

DATA MANAGEMENT
Factor Variables
Summarizing data
Splitting, Combining, Merging, and Joining Datasets

Day 2: Content headings

PROGRAMMING WITH R
Functions
Vectors
Iterations

THE TIDYVERSE PACKAGES
Importing Data with Readr
Cleaning data with Tidyr
Manipulating Data with Deplyr

MODEL BUILDING
Statistical analysis
Training models
Regression
Bayes
Cluster Analysis
Rule Building
RR ProgrammingData ScienceData AnalystData VisualisationReadrTidyrDeplyrData AnalyticsData Analysis