SQL Level 2: Advanced Data Querying and Management - Cloud Learning Academy

SQL Level 2: Advanced Data Querying and Management

24 Hours

Advanced

8 Modules

LE 2,999.00
LE 6,500.00
LE 2,999.00
10 customers are viewing this product
This advanced SQL course is designed for individuals who have a foundational understanding of SQL and are looking to expand their skills in data querying, extraction, and management. Focusing on the extensive use of DDL (Data Definition Language) and DML (Data Manipulation Language) statements, this course covers advanced SQL techniques to retrieve, manipulate, and manage data across multiple tables, supporting real-world data analysis and reporting tasks. The course begins with a quick recap of SQL basics, before diving into complex data filtering, sorting, and formatting using advanced SELECT statements. Students will master the art of joining tables, working with subqueries, and using aggregation and window functions for powerful analytical queries. A dedicated section on DML commands guides students in batch data insertion, updates, and conditional data manipulation using transactions and error handling. Schema management is explored through DDL commands, with lessons on table modification, indexing, and enforcing data integrity through constraints. Designed with practical applications in mind, the course culminates in a final project where students will create comprehensive queries, build reports, and apply insights for business scenarios such as sales analysis, customer insights, or inventory management. By the end of the course, students will be proficient in extracting and analyzing data from complex databases, empowering them with skills essential for roles in data analytics, business intelligence, and database management.
    • Course Outline
    • What you will learn
    • Audience profile
    Overview of SQL language and use cases Quick review of foundational SQL commands Basic SELECT statements, filtering, and sorting
    Complex filtering and conditional queries Using wildcards, pattern matching, and conditional expressions Advanced SELECT statements for complex data extraction
    Overview of join types: INNER, LEFT, RIGHT, and FULL joins Combining data from multiple tables effectively Writing and optimizing subqueries for nested data retrieval
    Grouping data with GROUP BY and HAVING clauses Using aggregate functions (SUM, AVG, COUNT, etc.) Introduction to window functions for advanced data analysis
    Batch data insertion, updates, and deletions Using transactions for safe data handling Error handling and conditional data manipulation
    Understanding tables, views, and indexing for schema management Creating, modifying, and deleting database objects Enforcing data integrity with constraints (PRIMARY KEY, FOREIGN KEY, UNIQUE)
    Indexing strategies for query optimization Working with constraints to enforce data consistency Managing database schema changes efficiently
    Creating comprehensive queries and generating insights Building and formatting reports for business scenarios Example Scenarios: Sales analysis, customer segmentation, inventory management Applying advanced SQL techniques to analyze data for decision-making
    Build and customize pivot tables and charts. Trace data dependencies and precedents with ease. Convert, validate, and consolidate data efficiently. Collaborate by protecting sheets and workbooks. Record, run, and manage macros for task automation. Seamlessly import and export data across platforms.
    Advanced Excel users looking to master topics in this course will gain expertise within the 2019 and above interface.

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