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Duration 35 hours
Course Outline
Part 1: SQL Foundations
Overview of SQL and Database Concepts
- Conceptual understanding of databases
- Introduction to the SQL language
- Configuration of the SQL development environment
SQL Syntax and Essential Queries
- Overview of SQL syntax rules
- Utilizing SELECT statements
- Data filtering using the WHERE clause
Utilizing Functions and Aggregations
- Commonly used SQL functions
- Aggregate functions: COUNT, SUM, AVG, MAX, MIN
- Data grouping via the GROUP BY clause
Table Relationships and Joins
- Concepts behind JOIN operations
- Implementation of INNER JOIN
- Application of LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN
Nested Queries and Set Logic
- Constructing subqueries
- Executing UNION, INTERSECT, and EXCEPT operations
Data Modification
- Usage of the INSERT INTO command
- Modifying records with the UPDATE command
- Removing records using the DELETE command
Part 2: Intermediate SQL Concepts
Advanced Data Filtering Techniques
- Complex WHERE clause strategies
- Pattern matching with the LIKE operator
- Utilizing IN and BETWEEN operators
Intricate Joins and Subqueries
- Performing self-joins
- Distinguishing between non-correlated and correlated subqueries
- Application of the EXISTS clause
Optimizing with Indexes and Views
- The role of indexes in system performance
- Development and usage of database views
Advanced Functions and Procedural Logic
- Creation of user-defined functions
- Development of stored procedures and triggers
- Implementing error handling in SQL
Data Analysis and Transformation
- Techniques for pivoting and unpivoting data
- Window functions: ROW_NUMBER, RANK, DENSE_RANK
- Use of CTEs (Common Table Expressions)
Database Architecture and Normalization
- Core principles of database design
- Understanding normal forms and the normalization process
- Entity-Relationship (ER) modeling techniques
Performance Optimization
- Strategies for query optimization
- Analysis of execution plans
- Best practices for performance tuning
Practical SQL Application
- Integration of SQL with broader technology stacks
- Examination of case studies and real-world use cases
- Capstone project: Developing a complete database solution from the ground up
Conclusion and Future Learning Paths
Requirements
- Familiarity with fundamental computer operations
- Knowledge of any programming language is advantageous, though not mandatory
Target Audience
- Data analysts
- Database professionals
- Software developers
Testimonials (1)
Small group, in-person for 3 days,