Data Analysis Foundations with Excel and R

Businesses across all industries need professionals who can transform raw information into actionable insights. This course provides a structured path to understanding the data lifecycle using two of the most popular tools in the field: Excel and the R programming language. You will transition from basic data entry to sophisticated analysis, gaining the skills necessary to handle real-world datasets. By the end of this course, you will be able to perform thorough data cleaning, execute statistical operations, and present your findings clearly. What you'll learn: - Learn fundamental data analysis terminology and the lifecycle of a professional data project. - Master Excel techniques for data cleaning, logical functions, and complex calculations. - Understand R syntax and data structures for reproducible statistical analysis. - Apply tidyverse principles to streamline data manipulation and exploration tasks. - Create meaningful data visualizations that communicate findings effectively to stakeholders. - Practice interpreting results to support data-driven business decisions. The curriculum begins with foundational concepts and spreadsheet logic before moving into the syntax and power of R programming. You will work through written explanations and code examples that demonstrate how to move from raw data to a finished report. This course is built for beginners who want to enter the data field, with no previous technical background or programming experience required. Begin building your data analytics skillset through comprehensive written lessons.