The Statistical Programming and Data Visualisation with R course is your chance to immerse yourself in one of the most dynamic and in-demand fields in today’s job market. With the ever-increasing volume of data generated daily, the ability to analyse and visualise information has become an essential skill for professionals across a range of sectors. This course is designed to provide you with the fundamental knowledge of data science, from managing relational databases to using R as a key tool for Big Data. You’ll learn to use ggplot2, a powerful R library, to create striking and clear visualisations, which are essential for making informed decisions. In addition, we’ll teach you how to customise axes, titles, legends, backgrounds, gridlines and margins, ensuring that your charts are both accurate and aesthetically pleasing. This online course offers you the flexibility to learn at your own pace whilst acquiring skills that will set you apart in the competitive world of work. Don’t miss this opportunity to grow professionally!
Statistical programming and data visualisation with R
AI Academy
45 hours
Introduction
Objectives
· Learn how to manipulate and analyse data using R. · Understand the structure and use of relational databases. · Use R to manage and analyse large volumes of data. · Create effective data visualisations with ggplot2 in R. · Configure axes to improve the interpretation of plots in R. · Add and customise titles on plots using ggplot2. · Include appropriate legends to clarify information in plots. · Adjust backgrounds and gridlines to optimise data presentation. · Manage margins to improve the aesthetics and clarity of visualisations.
Table of Contents
TEACHING UNIT 1. INTRODUCTION TO DATA SCIENCE TEACHING UNIT 2. RELATIONAL DATABASES TEACHING UNIT 3. R AS A TOOL FOR BIG DATA TEACHING UNIT 4. GGPLOT2 AS A LIBRARY FOR DATA VISUALISATION IN R TEACHING UNIT 5. AXES TEACHING UNIT 6. TITLES TEACHING UNIT 7. LEGENDS TEACHING UNIT 8. BACKGROUNDS AND GRID LINES TEACHING UNIT 9. MARGINS
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