SQL for Data Analysis: Advanced SQL Querying Techniques

Übersicht

This is a hands-on, project-based course designed to help you move beyond the "Big 6" clauses into advanced querying techniques.

Lehrplan

• Introduction to Advanced SQL Concepts
Review of the "Big 6" Clauses (SELECT, FROM, WHERE, GROUP BY, HAVING, ORDER BY)
Overview of Advanced SQL Topics
• Advanced Join Techniques
Inner and Outer Joins in Complex Queries
Self Joins and Recursive CTEs
Intersection and Exclusion Joins
• Subqueries and Derived Tables
Correlated and Uncorrelated Subqueries
Using Subqueries in SELECT, FROM, and WHERE Clauses
Derived Tables and Inline Views
• Advanced Aggregation and Analytical Functions
Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
Using PARTITION BY and ORDER BY in Analytics
Advanced Grouping: GROUPING SETS, CUBE, and ROLLUP
• Set Operations
Union, Intersect, and Except
Combining Results from Multiple Queries
Practical Use Cases for Set Operations
• Advanced Filtering and Searching
Using Regular Expressions in SQL
Full-Text Search Capabilities
Advanced Pattern Matching Techniques
• Performance Optimization
Query Execution Plans
Indexing Strategies for Complex Queries
Caching and Materialized Views for Faster Results
• Managing Data with Advanced SQL
Advanced INSERT, UPDATE, DELETE Operations
Implementing Transactions and Error Handling
Data Security and Access Control
• Hands-On Project: Real-world Data Analysis
Designing a comprehensive analytical SQL project
Applying advanced querying techniques to business scenarios
Presenting and interpreting SQL query results
• Conclusion and Further Learning
Summary of Key Concepts
Resources for Continued Study in SQL and Data Analysis

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Unterrichtet von

Maven Analytics and Alice Zhao

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Fachgebiete

Programming