Master Database Management and Querying in 10 Weeks

This comprehensive SQL course is designed to provide students with a solid foundation in database concepts, SQL programming, and database management. By the end of this course, students will be able to design, implement, and manage relational databases efficiently while gaining an understanding of advanced SQL features and database security.

Why Choose This Course?

  1. Comprehensive Curriculum: Covers foundational and advanced SQL concepts.
  2. Real-World Applications: Hands-on projects to prepare you for industry demands.
  3. Expert Guidance: Learn from industry professionals with real-world experience.

What You’ll Learn

  1. Database Design and Modeling: Create and normalize relational databases.
  2. SQL Proficiency: Write and optimize queries for various business use cases.
  3. Data Integrity: Implement constraints and keys to ensure data consistency.
  4. Advanced SQL: Work with joins, functions, and views for complex queries.
  5. User Management: Secure databases using roles and privileges.
  6. Practical Application: Build a fully functional database with real-world use cases.

Enroll Today!

Join Tanar Academy and take the first step towards academic excellence. Our dedicated team is here to support you every step of the way.

Course Outline

Week 1: Introduction to Databases

  • Objective: Understand basic database concepts and their importance in data management.
  • Topics:
    • Data, Information, Metadata.
    • Definition and advantages of databases.
    • Database models: Hierarchical, Network, Relational.
  • Activities:
    • Introduction to database environments using tools like MySQL Workbench.

Week 2: Entity-Relationship (ER) Modeling

  • Objective: Learn database design and visualization through ER modeling.
  • Topics:
    • ERD Elements: Entities, Attributes, Relationships.
    • Degree of Relationships (1:1, 1:M, M:M).
    • Attributes: Types, associations, and their role in database design.
  • Activities:
    • Create an ER diagram for a sample business scenario.

Week 3: Database Normalization

  • Objective: Understand and apply normalization techniques to avoid data redundancy and anomalies.
  • Topics:
    • Anomalies and Functional Dependencies.
    • Normal Forms: 1NF, 2NF, 3NF.
  • Activities:
    • Normalize a database schema based on a real-world dataset.

Week 4: SQL Basics – Data Definition Language (DDL)

  • Objective: Learn to create and manage database structures using SQL.
  • Topics:
    • DDL commands: CREATE, ALTER, DROP, RENAME, TRUNCATE.
    • Concept of Keys: Primary Key, Foreign Key, Composite Key.
  • Activities:
    • Create and modify tables using MySQL or MS SQL Server.

Week 5: SQL Basics – Data Manipulation Language (DML)

  • Objective: Manipulate data within tables using SQL.
  • Topics:
    • DML commands: INSERT, UPDATE, DELETE.
    • Data retrieval basics: SELECT statement.
  • Activities:
    • Perform CRUD operations on a sample database.

Week 6: Advanced SQL Queries

  • Objective: Write complex queries for data retrieval and analysis.
  • Topics:
    • WHERE, GROUP BY, ORDER BY, HAVING clauses.
    • Aggregate functions: MIN, MAX, AVG, SUM, COUNT.
  • Activities:
    • Analyze and summarize data using advanced SQL queries.

Week 7: SQL Constraints and Functions

  • Objective: Implement constraints and functions for data integrity and transformation.
  • Topics:
    • Constraints: NOT NULL, UNIQUE, CHECK, FOREIGN KEY.
    • SQL Functions:
      • Character functions: UPPER, LOWER, CONCAT.
      • Numeric functions: ROUND, MOD, COALESCE.
      • Date and Conversion functions: TO_DATE, TO_CHAR.
  • Activities:
    • Use constraints and functions to enforce data validation.

Week 8: Views and Data Dictionary

  • Objective: Understand views and their role in a multi-user environment.
  • Topics:
    • Creating and managing views: Simple and complex views.
    • Importance of views for data abstraction.
  • Activities:
    • Create views to simplify complex queries.

Week 9: User Privileges and Roles

  • Objective: Learn to manage database access in a multi-user environment.
  • Topics:
    • User creation and role management: CREATE USER, CREATE ROLE.
    • Assigning and revoking privileges: GRANT, REVOKE.
  • Activities:
    • Set up a multi-user database environment and assign roles.

Week 10: Database Security, Optimization, and Final Project

  • Objective: Implement database security and optimize database performance.
  • Topics:
    • Transactions and concurrency control.
    • Backup and recovery strategies.
    • Basic indexing and optimization techniques.
  • Final Project:
    • Design and implement a fully functional database for a real-world scenario, including:
      • ERD creation.
      • Normalization.
      • SQL scripts for schema creation, data insertion, and advanced queries.

Tools Required

  • Database Management Systems: MySQL, MS SQL Server, Oracle.
  • IDE: SQL Workbench or a similar interface.

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