Data Exploration and Analysis in SQL

Raw data is rarely ready for immediate analysis, often hiding patterns behind inconsistencies, missing values, and complex structures. To be an effective analyst, you must know how to probe a database to understand its contents before you can draw any meaningful conclusions. This course teaches you how to systematically explore a database, identify data quality issues, and extract meaningful summaries using professional SQL techniques. You will move beyond simple queries to perform deep dives into datasets, learning how to handle various data formats and prepare information for reporting or further study. What you'll learn: - Understand different data types including numeric, character, and date/time formats - Clean messy data by identifying and resolving common inconsistencies and errors - Summarize large datasets using powerful aggregation functions and grouping strategies - Apply Common Table Expressions (CTEs) to organize and simplify complex analytical queries - Analyze time-series data and trends using advanced date manipulation functions - Practice data quality checks to ensure the accuracy and reliability of your findings The course begins with foundational definitions and a look at data structures before progressing to practical cleaning patterns and advanced analytical techniques. You will work through written explanations and code examples designed to build your confidence in handling real-world databases. This course is designed for beginners who have a basic grasp of SQL and want to transition into data analysis roles. No previous experience in data science or statistics is required. Start refining your data analysis skills and learn to uncover the stories hidden within your database.