Data Manipulation and Cleaning in R

Transform raw data into valuable insights using R's powerful tidyverse tools. This beginner-friendly course introduces you to essential data cleaning and manipulation techniques, making complex data tasks approachable and practical. Learn how to clean messy data, handle missing values, and prepare datasets for analysis using Microsoft's development environment and AI assistance. Through hands-on practice, you'll master fundamental data cleaning skills while building confidence in: - Organizing and structuring data effectively - Handling common data issues - Working with different data formats - Using AI tools to enhance your workflow - Creating reproducible data cleaning processes Each concept is taught step-by-step with extensive examples and guided practice, ensuring you build a strong foundation in data manipulation skills

• Clean messy data and handle missing values
• Prepare datasets for analysis using Microsoft's environment
• Organize and structure data effectively
• Handle common data issues
• Use AI tools to enhance workflow
• Create reproducible data cleaning processes

• Basic computer and internet skills
• Ability to read course instructions in English and complete exercises