Data Analysis and Cleaning in Sheets

Spreadsheets are the backbone of modern business decision-making, yet raw data is rarely ready for immediate analysis. Learning how to efficiently clean, organize, and interpret this data is a vital skill that saves hours of manual work and drives smart business decisions. This text-based course guides you from spreadsheet novice to a confident data analyst. You will learn how to structure datasets, use foundational mathematical and statistical functions, and apply modern lookup techniques to merge information across multiple tables. By the end of this course, you will be able to transform messy, raw datasets into clean, structured formats and extract meaningful trends for finance, marketing, HR, or operations. What you'll learn: - Understand fundamental spreadsheet terminology, data types, and formatting best practices. - Clean messy datasets by removing duplicates, standardizing text, and handling missing values. - Apply logical and conditional functions to filter, sort, and aggregate data based on specific criteria. - Master lookup functions, including VLOOKUP and modern alternatives like XLOOKUP, to merge datasets seamlessly. - Analyze trends using basic descriptive statistics to summarize large volumes of business data. - Practice building clear, organized summary tables that make your findings easy to interpret. You will start with core spreadsheet concepts and data cleaning techniques before moving on to logical formulas and advanced lookup operations. The course concludes with practical scenarios where you apply your skills to analyze real-world business datasets. This course is designed entirely for beginners with no prior data analysis or spreadsheet experience. If you work in marketing, finance, retail, or operations and want to make data-driven decisions, this is the perfect starting point. Start reading today to unlock the full potential of your business data.