R Tidyverse Analytics and Reporting for Excel Users

If you rely on spreadsheets for daily reporting but find yourself limited by slow calculations, manual copy-pasting, or file size limits, it is time to upgrade your data toolkit. Transitioning to a programming language can feel daunting, but you do not need complex computer science concepts to make your analytics faster and more reliable. This text-based course bridges the gap between spreadsheet logic and R, the premier language for data analysis. By focusing on the clean, readable syntax of the Tidyverse, you will learn how to automate repetitive data cleaning steps, merge multiple datasets instantly, and generate dynamic reports. You will shift from manual cell-by-cell editing to writing reproducible scripts that handle millions of rows with ease. What you'll learn: - Understand foundational R syntax and map familiar spreadsheet concepts like VLOOKUP, Pivot Tables, and IF statements to clean Tidyverse code. - Import and clean messy data from various file formats using modern packages like readr and readxl. - Manipulate and transform data tables using dplyr and tidyr to filter, group, summarize, and reshape your datasets. - Apply modern R practices, including the native pipe operator and tidy data principles, to write highly readable and maintainable scripts. - Create professional data visualizations using ggplot2 to communicate insights clearly without manual charting steps. - Configure reproducible analytical workflows that allow you to rerun complex reports instantly when new data arrives. The course begins with core concepts and basic setup, ensuring you understand how R thinks about data before moving on to practical translation guides. Through step-by-step written explanations and practical code examples, you will systematically replace spreadsheet workarounds with robust code. This course is designed specifically for business analysts, financial specialists, and daily spreadsheet users who have no prior programming experience. No prerequisites are required. Step up your analytical capabilities and start automating your data workflows today.