The Ultimate Guide to learn SQL from scratch

Install mysql workbench and mysql installer, set root credentials, and explore basic database concepts, dbms, and client-server architecture for sql databases.

Compare file server and client-server architectures, explain edits and file locking with its drawbacks, and show how ordered sql statements on a database enable safe multi-user updates with change logging.

Discover how structured query language lets you read, update, and manage relational databases with core commands like select, insert, update, delete, create, and drop.

Learn how SQL constraints enforce data rules by using unique, not null, and primary key constraints, and how foreign keys link related tables in database design.

Explore the data definition language (DDL) in SQL, learning how to create, alter, and drop tables, define columns and data types, and manage databases, primary keys, and constraints.

Discover data query language basics using select statements to fetch, filter, and alias data. Learn to create and query tables with where conditions, like, in, and count to analyze data.

Learn about data manipulation language (DML) in SQL, focusing on insert, update, and delete statements; practice inserting rows, updating designations, and deleting records.

Learn how to combine data across tables with left, right, inner, and full outer joins, plus self and cross joins, using customer and order examples.

Explore data import and export options in sql workflows, including manual importing with a wizard, command-line import for large datasets, creating tables, and exporting data to databases for analysis.

Learn how to use aggregate functions in SQL, including group by, count, sum, min, max, and average, to analyze data by gender, contract, or other categories.

Learn how to manipulate string data with SQL string functions, including concatenate, trim, substring, upper and lower case, and length, using real examples with first and last names.

Learn how to work with date and time functions in SQL, including date diff, date format, day, month, year extraction, and adding or subtracting intervals on transaction dates.

Explore regular expressions to search data beyond the like operator using patterns, character classes, and sequence matching in SQL. See practical examples with names, payment methods, and IDs.

Master nested queries by using inner and outer queries to filter data with subqueries, including finding customers with salaries above the average and identifying highest salaries.

Discover views in SQL as virtual tables that display data from other tables without storage, enabling data privacy, simplified access, and faster queries with a materialized view.