Data Analytics and Visualization with Excel and R

In today's data-driven world, the ability to transform raw information into clear, actionable insights is a highly sought-after skill. This course introduces you to the core principles of data analysis and visualization using two of the industry's most versatile tools: Excel and the R programming language. You will start with the absolute basics, learning essential data terminology, how databases structure information, and how to approach data with an analytical mindset before moving on to practical implementation. By the end of this course, you will be able to confidently clean messy datasets, perform statistical calculations, and design clear, readable charts that tell a compelling story with data. What you will learn: Understand foundational data concepts, structures, and the lifecycle of data analysis; Apply essential Excel functions, dynamic arrays, and formulas to organize and clean information; Create professional data visualizations and dashboards to communicate insights effectively; Write clean, modern R code using the tidyverse ecosystem for efficient data manipulation; Practice importing, filtering, and merging diverse datasets from different sources. This text-based program begins with basic concepts and definitions, gradually guiding you through step-by-step written tutorials and structured code examples. It is designed specifically for beginners with no prior coding or advanced math experience. Start your journey into data analytics today and learn how to turn numbers into impactful narratives.