Data Science with R for Professionals: From Spreadsheets to Code

Spreadsheets are powerful tools, but they often reach their limits when data grows complex or workflows become repetitive. Learning to handle data through code allows you to automate your analysis, reduce errors, and unlock insights that are difficult to find in a grid of cells. This course provides a clear path for professionals to transition into data science by mastering the R programming language. You will move from basic data entry to building robust, reproducible analytical workflows that can be easily shared and updated. By the end of this program, you will understand how to transform raw data into polished reports and interactive presentations that drive decision-making. What you'll learn: - Understand the foundations of the R programming language and essential data science terminology - Clean and manipulate complex datasets using modern Tidyverse packages for efficient data handling - Create professional data visualizations to communicate insights clearly and effectively - Apply reproducible workflows to ensure your analysis is consistent, transparent, and easy to audit - Develop interactive reports and presentations using current documentation tools like Quarto - Manage data projects effectively using modern collaboration concepts and version control basics The course begins with fundamental definitions and core syntax before progressing through data cleaning, analysis, and professional reporting techniques. Each section focuses on practical application through written explanations and code-based exercises. This course is designed for professionals who are new to programming and want to upgrade their analytical toolkit. No prior coding or advanced statistics experience is required to begin. Start your journey into professional data science today.