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Course Outline

Introduction to SQL and Relational Databases

  • Exploring the underlying structure of databases
  • A high-level overview of SQL syntax
  • Interacting with tables and schemas

Fundamental Querying Techniques

  • Extracting and projecting specific data
  • Filtering rows using the WHERE clause
  • Arranging output with ORDER BY

Combining Data from Multiple Tables

  • Mastering inner, left, right, and full joins
  • Merging datasets from various sources
  • Defining and resolving join conditions

Data Aggregation and Grouping

  • Utilizing aggregate functions like COUNT, SUM, AVG, MIN, and MAX
  • Effective application of the GROUP BY clause
  • Filtering aggregated results with HAVING

Subqueries and Nested Logic

  • Working with scalar subqueries
  • Understanding correlated subqueries
  • Leveraging subqueries for filtering and complex calculations

Data Manipulation and Modification

  • Adding new records to the database
  • Modifying existing data entries
  • Safely removing unwanted data

Database Objects and Integrity Constraints

  • Grasping the role of primary and foreign keys
  • Creating and utilizing views
  • Implementing constraints to enforce data rules

Advanced SQL Concepts

  • Implementing window functions
  • Using Common Table Expressions (CTEs)
  • Introducing performance tuning and optimization basics

Recap and Future Learning Paths

Requirements

  • A solid grasp of fundamental data concepts
  • Prior experience working with spreadsheets or tabular formats
  • Basic familiarity with standard business software applications

Target Audience

  • Data analysts
  • IT specialists and professionals
  • Individuals responsible for managing, querying, and analyzing organizational data
 10 Hours

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