Database and SQL for Beginners

Dive into the world of databases with this comprehensive course! You'll learn the fundamentals of DBMS (Database Management Systems) and RDBMS (Relational Database Management Systems), building a strong foundation for data management.

Understanding Relational Databases

• Relational Database Terminology: Master key concepts like primary key, foreign key, and other essential terms for designing efficient databases.
• Structured Query Language (SQL): Unlock the power of SQL, the standard language for interacting with databases.

Mastering SQL Commands

• SQL Command Types: Explore DDL (Data Definition Language), DCL (Data Control Language), DML (Data Manipulation Language), and Query commands.
• Data Retrieval with SELECT: Learn to extract specific data using the powerful SELECT command.
• Data Projection & Selection: Understand how to select specific columns (projection) and rows (selection) from your tables.
• Data Ordering with ORDER BY: Master the ORDER BY clause, including ordering by multiple columns.
• SQL Operators: Utilize operators like BETWEEN..AND, IN, and LIKE for flexible data filtering.

Working with SQLite

• SQLite Database System: Gain practical experience with the lightweight and widely used SQLite database system.
• SQLite Studio: Learn to install and effectively use SQLite Studio for creating, managing, and interacting with SQLite databases.
• Database Creation & Interaction: Develop skills in creating SQLite databases and performing various operations.

Data Manipulation & Transactions

• Data Modification: Effectively manipulate data using INSERT, DELETE, and UPDATE commands.
• Transaction Management: Understand and implement transaction management with COMMIT and ROLLBACK operations to ensure data consistency.
• SQL Functions: Expand your SQL capabilities with various functions:
  • Numeric Functions: Perform calculations on numeric data.
  • String Functions: Manipulate and process text data.
  • Date & Time Functions: Work with date and time values.
  • Miscellaneous Functions: Handle null values and other data types.
  • Aggregate Functions: Calculate summary values using GROUP BY.

Advanced SQL Techniques

• Grouping Data with GROUP BY: Aggregate and summarize data using the GROUP BY clause.
• Filtering Groups with HAVING: Select groups based on specific criteria using the HAVING clause.
• Table Joining: Combine data from multiple tables using JOIN clauses, including:
  • NATURAL JOIN
  • JOIN
  • Outer Joins (LEFT, RIGHT, FULL)
• Subqueries: Utilize subqueries in both DML and DDL statements.
  • Nested and Multiple Subqueries
  • Correlated Subqueries
• Combining Join, Subquery, and Grouping

Enhancing Database Efficiency

• Database Views: Understand the purpose and benefits of views for simplifying complex queries and data access. Learn how to create and use views.
• Indexing: Learn how indexes improve query performance and how to determine if an index is being utilized.