
Learn MySQL basics as an RDBMS, explore client-server model, install the server with phpMyAdmin and MySQL Workbench, then create databases and tables and handle import, export, and data with SQL.
Master core MySQL datatypes—numeric (integer, float, decimal), date time (date, date time, timestamp), and strings (char, varchar, blob)—and learn to choose the best data types and their timezone implications.
Explore MySQL data types, including spatial and JSON, and learn how choosing types affects storage, querying, and accurate ordering and relational use.
Compare phpMyAdmin and MySQL Workbench, then create databases and tables in phpMyAdmin, design a primary key with auto increment, and use varchar fields with UTF eight mv for Unicode CI.
Create a new customers schema in MySQL Workbench, add a person table with an auto incrementing id, name, and purchase, and use forward engineering to generate the design.
Explore principles of table design to avoid redundant data, using primary and foreign keys to connect tables. Evaluate per-table permissions for read, write, update, and delete to control database access.
Master importing and exporting data using CSV, XML, and JSON formats, with CSV emphasized. Use phpMyAdmin and Workbench to import, preview, and export data between tables.
Learn to write MySQL queries: select, insert, update, and delete from tables, using where conditions, operators, and wildcards, with phpMyAdmin and the SQL tab for practical practice.
Master insert, update, and delete operations in MySQL, including two insert formats (columns with values and set syntax), safe updates with where clauses, and careful deletes with prior selects.
Explore the main database storage engines—CSV, ISAM, MyISAM, heap memory, and InnoDB—and compare their trade-offs for queries, indexing, transactions, and fault tolerance.
Master table joining in MySQL by using inner, left, right, and full outer joins with multiple tables, including how to apply the having clause and handle nulls.
Explore MySQL joins on purchases and product tables, using aliases to simplify names and improve clarity, and apply having clause to filter results after joins, while contrasting where versus having.
Order results by date of purchase in ascending or descending order, sort by product id, perform arithmetic on amounts with floor and ceil, format names with concat and substring.
Learn to differentiate where and having for computed fields, and use sum, avg, and length to validate and summarize data for grouped results.
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25 in-depth courses covering SQL, NoSQL, and Vector Databases.
Step-by-step instructions from beginner to advanced topics.
Hands-on projects that simulate real-world applications.
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Exposure to modern database workflows that are relevant for AI, analytics, and backend development.
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