Exploratory Data Analysis Fundamentals with R

Raw data is often messy and overwhelming, but learning how to explore it effectively is the first step toward becoming a data professional. This course provides a structured path to understanding datasets, identifying trends, and preparing data for deeper analysis using industry-standard tools. Through this written curriculum, you will learn to transform raw information into actionable insights. You will gain the skills needed to clean datasets, perform statistical summaries, and build a narrative around your data using modern coding practices. What you'll learn: - Understand foundational statistical concepts and data types to interpret information accurately - Practice data manipulation using dplyr to filter, sort, and transform complex datasets - Apply ggplot2 principles to create meaningful visualizations through written code - Master tidy data concepts to clean and organize information for modern workflows - Identify outliers and missing values to ensure data quality and reliability - Analyze real-world scenarios, such as the Pokemon dataset, to apply theoretical concepts to practical tasks The course begins with essential terminology and statistical definitions before guiding you through data cleaning processes and visualization techniques. This text-based program ensures you understand the logic behind the code while building a solid analytical foundation. This course is designed specifically for beginners with no prior data science experience. Start your journey into data exploration today.