Mastering SQL
Mastering SQL
- Understanding Database Fundamentals: Gain a solid understanding of fundamental database concepts such as tables, rows, columns, primary keys, foreign keys, normalization, and denormalization.
- Learning SQL Syntax: Master the syntax and semantics of SQL statements for data manipulation (SELECT, INSERT, UPDATE, DELETE), data definition (CREATE, ALTER, DROP), and data control (GRANT, REVOKE).
- Querying Databases: Learn to write complex SQL queries to retrieve data from single or multiple tables using various clauses (e.g., WHERE, JOIN, GROUP BY, HAVING, ORDER BY) and functions (e.g., aggregate functions, scalar functions).
- Database Design and Modeling: Understand the principles of database design and modeling, including entity-relationship modeling (ER), designing schemas, and creating efficient table structures.
- Indexing and Optimization: Learn techniques for optimizing database performance, such as creating indexes, optimizing queries, and analyzing query execution plans.
- Data Integrity and Transactions: Understand how to ensure data integrity through constraints (e.g., primary key, foreign key, unique constraints) and transactions (e.g., COMMIT, ROLLBACK) to maintain data consistency and reliability.
- Security and Permissions: Learn about database security concepts such as authentication, authorization, and encryption, and understand how to manage user permissions effectively.
- Backup and Recovery: Understand the importance of database backups and recovery strategies to ensure data protection and continuity in case of failures or disasters.
- Advanced SQL Features: Explore advanced SQL features and techniques such as window functions, common table expressions (CTEs), stored procedures, triggers, and dynamic SQL.
- Working with Different Database Systems: Gain familiarity with various SQL database management systems (DBMS) such as MySQL, PostgreSQL, SQL Server, Oracle, and SQLite, and understand their differences and unique features.
- Real-world Applications: Apply SQL skills to real-world scenarios and projects, such as building database-driven applications, analyzing data, and generating reports.
- Continuous Learning and Keeping Up with Trends: Stay updated with the latest developments in SQL and database technologies, and continuously improve your skills through practice, experimentation, and learning from resources like online courses, books, and community forums.
By setting these objectives and working towards them systematically, you can progressively master SQL databases and become proficient in designing, querying, and managing data effectively.
No prior knowledge is required. Learning will start from scratch.
Course Title | Mastering SQL |
Days per week | Sundays only |
Number of hours per week | 3 hours per week |
Total study time | 6 classes – 18 credit hours |
- This course provides an in-depth understanding of databases and how to effectively manage
and query data using MySQL Workbench. - Students will learn the fundamental concepts of databases, SQL (Structured Query Language),
and how to design and implement efficient database solutions. - Practical hands-on exercises and projects will be utilized to reinforce learning and develop real-
world database skills.
Software to be learn:
• MySQL Workbench
Week 1: Introduction to Databases
- Overview of Databases: Understanding the significance of databases in modern computing.
- Types of Databases: Exploring relational, NoSQL, and other database paradigms.
- MySQL and MySQL Workbench: Introduction to MySQL and its visual interface, MySQL Workbench.
- Installation: Step-by-step guide on installing MySQL and MySQL Workbench.
- Database Creation: Creating and managing databases using MySQL Workbench.
Week 2: SQL Queries and Data Manipulation
- Understanding SQL: Introduction to Structured Query Language and its role in database operations.
- CRUD Operations: Learning Create, Read, Update, and Delete operations in SQL.
- SELECT Statements: Retrieving data from databases using SELECT statements.
- Filtering and Sorting: Using WHERE clause for data filtering and ORDER BY clause for sorting.
- Joining Tables: Combining data from multiple tables using various JOIN operations.
- Aggregation Functions: Utilizing functions like COUNT, SUM, AVG, etc., for data aggregation.
- GROUP BY and HAVING: Grouping data and applying conditions using GROUP BY and HAVING clauses.
- Subqueries: Understanding and implementing subqueries for complex data retrieval.
Week 3: Database Design and Normalization
- Database Design Principles: Understanding the fundamentals of designing efficient databases.
- Entity-Relationship Modeling: Using ER diagrams to visualize database structures.
- Normalization: Importance of normalization in reducing redundancy and improving data integrity.
- Relational Database Schemas: Transforming ER diagrams into relational database schemas.
Week 4: Indexing and Optimization
- Indexing: Exploring indexing and its impact on database performance.
- Query Optimization: Strategies for optimizing SQL queries for efficiency.
- Query Execution Plans: Analyzing query execution plans for performance tuning.
- Best Practices: Implementing best practices for effective database optimization.
Week 5: Data Integrity, Constraints, Stored Procedures, and Triggers
- Data Integrity: Ensuring data integrity through constraints and validations.
- Constraints: Implementing primary keys, foreign keys, unique constraints, and check constraints.
- Stored Procedures: Introduction to stored procedures and their advantages in database operations.
- Creating Stored Procedures: Writing and executing stored procedures for repetitive tasks.
- Triggers: Automating actions using triggers and understanding their applications.
Week 6: Database Administration and Security
- User Management: Managing users and access control for database security.
- Backup and Recovery: Developing strategies for database backup and recovery.
- Monitoring and Maintenance: Tools and techniques for monitoring and maintaining database health.
- Security Best Practices: Introduction to database security best practices for safeguarding sensitive data.
NODEBOOK PRIVATE LIMITED
- Stored Procedures vs. Triggers: Understanding the differences and determining when to use stored procedures or triggers.
Students will undertake a practical project to design and implement a fully functional database system using
MySQL Workbench. The project will involve designing the database schema, creating relevant tables,
populating data, and writing complex SQL queries. This project will serve as a comprehensive assessment of
the students’ understanding and practical application of the course material.
Overview
Course Modality
- On-site
- Online
Course Duration
- 6 Weeks (18 credit hours)
Course
- Mastering SQL Databases
Course Support
- 24/7 Support and Recording Available
Course Language
- English
Trainer Info
Wardha Arshad – Trainer Nodebook Private Limited
Experienced data scientist, Microsoft Ambassador, Stanford Section Leader. Skilled in Azure, ML, Python, R. Expertise in data modeling, ML algorithms. B.S. Computer Science from NED University.