Data Analysis Fundamentals with Excel and R

In today's data-driven world, the ability to clean, analyze, and interpret data is a critical skill across every industry. This comprehensive text-based course bridges the gap between spreadsheet modeling and programming, giving you a versatile toolkit for solving real-world data challenges. You will transition from basic data organization to writing reproducible analysis code, opening up new efficiencies in your daily work. Starting with fundamental concepts and key terminology, you will build a solid foundation in data structure and analytical thinking before diving into practical exercises. Learn to manipulate spreadsheets, write robust formulas, and transition your workflows into R for advanced statistical analysis and visualization. What you'll learn: Understand core data analysis principles and fundamental statistical terms; Clean and format messy datasets efficiently using Excel and R; Apply dynamic Excel formulas and modern array functions to summarize information; Write clean, reproducible R code using modern tidyverse conventions for data manipulation; Create clear, data-driven reports and structured summaries to guide business decisions. The course flows logically from spreadsheet essentials to programmatic data handling, ensuring you build confidence step-by-step. This course is designed specifically for beginners with no prior programming or advanced mathematics experience. Start your journey into data analysis today and gain the skills to turn raw numbers into actionable insights.