R and Visualisation Using Power BI — Lesson 1: R Programming Foundations

Learning Objectives

• Install and configure R and an appropriate development environment
• Use variables, operators, vectors, lists, matrices, and data frames
• Create functions, conditions, loops, and reusable scripts

Detailed Topics

• Install and configure R and an appropriate development environment: Install and configure R and an appropriate development environment
• Use variables: Use variables, operators, vectors, lists, matrices, and data frames
• Create functions: Create functions, conditions, loops, and reusable scripts

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected outcome.
2. Demonstrate the relevant configuration, analysis, code, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, or test evidence.
4. Compare the observed result with the stated acceptance criteria.

Hands-On Activity

Write an R script that prepares and summarizes a business dataset.

• Document assumptions and the planned sequence before making changes.
• Complete the activity and preserve evidence of normal and exception behavior.
• Record issues, corrective actions, and reusable operational or development notes.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, permissions, data, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, and user or business impact.

Validation Checklist

• The requirement and expected outcome are clear.
• The selected configuration, design, query, code, or process is documented.
• Normal, boundary, failure, security, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply R Programming Foundations in a realistic scenario and validate the result with documented evidence.