Data Analytics and Visualization with R
About This Course
Master the art of transforming raw data into actionable insights with our WSQ-endorsed course in Data Analytics and Visualization with R. This comprehensive course covers everything from basic data manipulation in R to advanced visualization techniques. You'll learn how to prepare datasets, create compelling visuals, and make data-driven decisions. The curriculum also includes real-world projects to ensure you get the hands-on experience you need.
Upon course completion, you will be fully equipped to tackle any data analysis or visualization challenge that comes your way. Whether you're looking to expand your career options, improve business decision-making, or delve deeper into data science, this course provides the fundamental skills to set you on the path to success. Boost your data analytics game today with our specialized training.
What You'll Learn
- prepare and transform data for analysis
- summarise data with descriptive statistics
- perform quantitative data analysis
- perform quantitative data analysis
- perform data visualizations to interpret data
Course Outline:
Topic 1 Data Preparation and Transformation
Overview of Research Data Analysis
Install R Data Analysis Packages - Tidyverse and ggplot2
Import and Export Dataset
Filter and Slice Data
Clean Data
Join Data
Transform Data
Aggregate Data
Pipe Data
Topic 2 Data Summary
Categorical vs Continuous Data
Quantitative vs Qualitative Data
Descriptive Statistics of Data
Summarize Data
Basic Plots and Tables
Topic 3 Quantitative Data Analysis
Quantitative Data Analysis Overview
Correlation Analysis
Regression Analysis
Hypothesis Testing
Analysis of Variances (ANOVA)
Topic 4 Qualitative Data Analysis
Qualitative Data Analysis Overview
Install R Packages for Qualitative Data Analysis
Word Cloud Analysis
Text Analysis
Topic 5 Data Visualization
Grammar of Graphics
Plots for Quantitative Data
Plots for Qualitative Data
Customize Visualizations
Interpret Findings
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
• Minimum 18 years old