Beginners Guide to Data Transformations in SQL

Overview:

Data in databases is rarely structured perfectly for analysis. Columns may contain inconsistent values, tables may need joining or aggregation, and raw datasets often require cleaning before they can be trusted. SQL is a powerful tool for transforming data, but beginners often struggle with the right approach to structuring queries, handling duplicates, and preparing datasets for reporting or analytics.

This session introduces essential data transformation concepts using SQL. You’ll learn practical techniques for filtering, joining, aggregating, and reshaping data, along with strategies for writing maintainable and efficient queries. Through real-world examples, you’ll understand how proper SQL transformations can improve accuracy, performance, and confidence in your analysis. By the end, you’ll have a solid foundation to prepare raw data for reporting and analytics tasks.

Why you should Attend:

Are your SQL queries messy, slow, or producing inconsistent results? Without proper data transformation skills, raw tables can leave you with reports that are inaccurate, hard to maintain, and frustratingly slow. In “Beginner’s Guide to Data Transformations in SQL”, you’ll learn how to clean, reshape, and prepare your data for reliable reporting - before poor practices turn into long-term technical debt.

Areas Covered in the Session:

• _{Understanding the role of SQL in data preparation}
• _{Filtering, sorting, and removing duplicates effectively}
• _{Joining tables: inner, outer, and cross joins}
• _{Using CASE statements for conditional transformations}
• _{Handling NULLs and data inconsistencies}
• _{Writing queries that are maintainable and readable}
• _Step-by-step demonstration: transforming raw tables into analysis-ready datasets

Who Will Benefit:

• People who (start to) work with Power BI