Alteryx for Data Preparation: Clean and Transform Your Data

Raw data is rarely ready for analysis, often containing errors, duplicates, and missing values that can skew your insights. Mastering data preparation is the most critical step in any successful data analytics workflow. This text-based course guides you through the process of cleansing, transforming, and structuring data using Alteryx. You will transition from handling messy spreadsheets to building automated, repeatable workflows that save hours of manual work. What you'll learn: - Understand foundational data quality concepts, data types, and the importance of clean data - Cleanse datasets by managing missing values, removing duplicates, and standardizing formatting - Apply basic and custom filters to isolate key segments of your data - Write powerful expressions and formulas to manipulate text, numbers, and dates - Summarize and sample large datasets to extract meaningful, high-level insights - Parse modern data formats like JSON to handle semi-structured data sources You will start with core data quality definitions before moving step-by-step through configuration logic, filtering techniques, and advanced formula building. Through written explanations and practical scenarios, you will learn to build efficient, self-documenting workflows. This course is designed for beginner data analysts, business professionals, and spreadsheet users looking to automate their data preparation workflows without needing prior programming experience. Start your journey toward faster, more reliable data preparation today.