Become a data analyst in 2026: a practical roadmap

Becoming a data analyst in 2026 involves mastering foundational concepts and tools, as outlined in a practical roadmap by Abed Habli and Robert Kosara. The guide emphasizes starting with data analytics fundamentals, such as understanding different types of analytics and data structures, before progressing to tool proficiency. Tools like Excel, Metabase, and SQL are highlighted for their roles in organizing, filtering, and analyzing data. The roadmap also covers data preparation, quality assurance, and aggregation techniques, including pivot tables and SQL's GROUP BY, to facilitate meaningful data analysis. Additionally, it explores how to connect data tables using joins and concludes with insights into data visualization and storytelling to effectively communicate analytical results. This beginner-friendly guide aims to provide a solid foundation for aspiring data analysts, with promises of more advanced topics in future installments.