Unlock the full potential of your data management skills with our SQL Training course. This comprehensive program is designed to provide you with a strong foundation in Structured Query Language (SQL) – the universal language for managing and querying relational databases. Whether you’re new to databases or seeking to enhance your current SQL knowledge, this course will guide you through the essential concepts and best practices for writing effective SQL queries.
Prerequisites
Basic understanding of data and spreadsheets (Excel or similar tools).
Familiarity with using a computer and navigating software applications.
Interest in learning data management and analysis techniques.
Learning Outcomes
Understand and work with relational databases: Recognize the components of a relational database and how they interact.
Write and execute basic SQL queries: Use SELECT statements, filter and sort data, and retrieve useful insights from a database.
Manipulate data: Insert, update, and delete records while ensuring data integrity.
Join tables: Use SQL JOINs to query data from multiple tables and understand relationships between them.
Aggregate and analyze data: Utilize aggregate functions like COUNT, SUM, AVG, and GROUP BY for data analysis.
Design efficient databases: Apply best practices for database design, including normalization and indexing for improved performance.
Handle errors and troubleshoot queries: Learn to troubleshoot common SQL errors and optimize queries for performance.
Jobs you can get with Your Advanced SQL Qualification
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Small Groups
With small groups of students, our instructors can work closely with each student.
Flexible Class Schedules
Our class schedules are flexible on weekdays, weekend, or evenings to suit your schedule.
Experienced Instructors
Our instructors follow a modified are personalized approach to engage students during class
Hi-Tech Lab Facilities
Our students can access our lab facilities anytime for practical experience during and after studies.
Syllabus
Module 1: Introduction to Relational Databases
What is a relational database?
Understanding tables, rows, and columns
Keys: Primary Key, Foreign Key, and Unique Constraints
Database normalization and structure
Module 2: Writing Basic SQL Queries
Introduction to SQL syntax
SELECT statement: Retrieving data from tables
Using the WHERE clause to filter results
Sorting data with ORDER BY
Limiting query results with LIMIT/OFFSET
Module 3: Data Modification
Inserting data using the INSERT INTO command
Updating data with the UPDATE statement
Deleting data using DELETE
Working with NULL values and handling missing data
Module 4: Advanced Querying Techniques
SQL JOINS: INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL JOIN
Using UNION to combine results from multiple queries
Subqueries: Writing queries within queries
Using GROUP BY and HAVING to aggregate data
SQL Functions: COUNT, SUM, AVG, MIN, MAX, and DISTINCT
Module 5: Data Integrity and Constraints
Ensuring data quality with Primary Keys and Foreign Keys
UNIQUE and CHECK constraints
Using NOT NULL and DEFAULT constraints
Creating and modifying indexes
Module 6: Advanced SQL Features
Creating and managing views
Writing and using stored procedures and triggers
Understanding and using transactions in SQL (COMMIT and ROLLBACK)
Query optimization techniques for large datasets
Module 7: Database Design Best Practices
Introduction to normalization and its importance
The process of normalizing a database (1NF, 2NF, 3NF)
Indexing for performance
Designing efficient database structures for real-world applications
Module 8: Troubleshooting and SQL Optimization
Common SQL errors and how to resolve them
Best practices for optimizing queries
Analyzing query performance with EXPLAIN and other tools
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