SQL is a popular language for extracting, stacking, and querying data from databases. Master SQL to explore, filter, and aggregate almost any raw data into multiple dimensions of valuable input.
Level 1 teaches SQL from scratch to let you understand SQL and data analysis and is designed to jumpstart your knowledge of SQL and perform various data analysis tasks. You will learn SQL terminologies, databases, and syntax. You will create and load databases, schemas and tables, analyze data using filtering conditions and search patterns, count distinct values across dataset attributes, group rows, calculate using aggregation functions, and use aliases for columns and tables.
Level 2 directly continues from topics explored in Level 1. It covers more advanced SQL tools and capabilities. You will combine data from multiple sources, break complex queries into subqueries, transform and classify data, analyze data with window functions, create views and CTEs, and explore SQL to the core. You will work on quizzes and exercises to practice and sharpen your understanding of the learning objectives.
Upon completion, you will comprehensively acquire knowledge about SQL syntax, queries and subqueries, perform data analysis tasks independently, and garner thorough understanding of SQL, and use it in your data visualization and analysis.
All resources are available at: https://github.com/PacktPublishing/Master-SQL-for-Data-Analysis
Understand SQL terminology and create databases
Learn to write and practice SQL syntax step by step
Create and load data into databases, schemas, and tables
Analyze data using various filtering conditions and search patterns
Conduct data transformation processes using CASE statements
Combine data from multiple tables and filter data using subqueries