Course Details

Master SQL, the language of databases. This comprehensive course designed to help you query, manage, and analyze data effectively. Whether you’re working with small datasets or large-scale databases, this course will guide you through the essentials of SQL, equipping you with the skills to retrieve, manipulate, and transform data for insights and reporting.

SQL

Master SQL, the language of databases. This comprehensive course designed to help you query, manage, and analyze data effectively. Whether you’re working with small datasets or large-scale databases, this course will guide you through the essentials of SQL, equipping you with the skills to retrieve, manipulate, and transform data for insights and reporting.

Course Fee

₦ 30,000

Duration

4weeks

APPLY
  • Understanding relational databases and SQL syntax.
  • Installing and setting up an SQL environment.
  • SQL commands overview (SELECT, INSERT, UPDATE, DELETE).
  • Using the SELECT statement to query data.
  • Filtering data with WHERE clauses.
  • Sorting results with ORDER BY.
  • Limiting results with LIMIT and OFFSET.
  • Understanding joins (INNER, LEFT, RIGHT, FULL).
  • Using UNION and UNION ALL to combine result sets.
  • Subqueries and nested queries.
  • Aliases and table relationships.
  • Summarizing data with COUNT, SUM, AVG, MIN, MAX.
  • GROUP BY and HAVING clauses for grouped data.
  • Working with complex aggregates and subqueries.
  • Inserting new data with INSERT INTO.
  • Updating existing data with UPDATE.
  • Deleting records with DELETE.
  • Best practices for data modification.
  • Introduction to database design principles.
  • Understanding primary keys, foreign keys, and indexes.
  • Database normalization (1NF, 2NF, 3NF) for efficient design.
  • Creating and modifying tables
  • Using CASE statements for conditional logic.
  • String functions (CONCAT, LENGTH, SUBSTRING).
  • Date and time functions (NOW, DATE_ADD, DATEDIFF).
  • Recursive queries and Common Table Expressions (CTEs).
  • Creating and using views for reusable queries.
  • Understanding stored procedures and functions.
  • Implementing triggers for automated actions.
  • Indexing strategies for faster queries.
  • Query optimization tips (EXPLAIN, ANALYZE).
  • Working with large datasets efficiently.
  • Understanding transactions and locking.
  • Using SQL to perform data exploration and trend analysis.
  • Combining SQL with data visualization tools (Power BI, Excel).
  • Advanced data transformations and reporting with SQL.