Excel Foundations for Data Science and Analysis

Every great data science journey starts with a solid understanding of how to organize, clean, and analyze data. Excel remains one of the most powerful and widely used tools for exploring datasets and uncovering initial insights. This text-based course guides you from absolute beginner to confidently manipulating datasets for data science tasks. You will transition from manual spreadsheet tasks to building automated data workflows, preparing you for more advanced analytical challenges. What you'll learn: - Understand foundational Excel concepts, interface navigation, and essential data types. - Apply mathematical operations, statistical aggregations, and date functions to raw datasets. - Master modern lookup techniques like XLOOKUP and conditional filtering to extract specific data points. - Summarize complex datasets using Pivot Tables to identify key trends and patterns. - Clean messy data using Power Query and modern dynamic array formulas. - Troubleshoot and resolve common spreadsheet errors to ensure data integrity. The course begins with basic spreadsheet structure and navigation before moving into core formulas, data cleaning techniques, and advanced summarization tools. Through written explanations and practical step-by-step examples, you will build a functional toolkit for real-world data analysis. This course is designed for aspiring data scientists, business analysts, and beginners with no prior experience in spreadsheet software or data analysis. Start your data science journey today by mastering the fundamentals of data analysis with Excel.