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    Introduction to Oracle SQL

    Database Development - 4 Days
    Introduction to Oracle SQL is a hands-on, beginner-friendly course designed to teach the core concepts and practical skills of working with SQL in an Oracle Database environment. Whether you're pursuing a career in data analysis, software development, or database administration, this course provides the essential foundation for managing and querying relational data using Oracle SQL.

    Students will learn how to create and manage tables, retrieve and filter data, use built-in functions, perform joins and subqueries, manipulate data using DML commands, and create views. Each topic is reinforced with real-world examples and practical exercises to build confidence and deepen understanding.

    Python Data Analysis with JupyterLab Objectives

    • Understand the structure and purpose of relational databases
    • Write basic and advanced SQL queries to extract and analyze data
    • Use Oracle SQL functions for calculations formatting and data transformation
    • Join multiple tables and perform nested subqueries
    • Insert update and delete data using DML statements
    • Use CASE expressions for conditional logic in queries
    • Create and manage views for simplified data access
    • Apply set operations and aggregate functions to summarize data
    • Key Benefits
    • Beginner-Friendly: Learn SQL from the ground up—no prior experience required
    • Hands-On Practice: Reinforce learning with guided exercises and real-life examples
    • Career Foundation: Build a strong base for further learning in PL/SQL or Oracle DBA roles
    • Productivity Boost: Learn to query and manipulate Oracle data efficiently and effectively

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    • Python Data Analysis with JupyterLab Prerequisites

      Required: None
      Recommended: Familiarity with general computing concepts

    • Python Data Analysis with JupyterLab Format

      In-Person

      Online

    • Python Data Analysis with JupyterLab Outline

      1. Relational Database Basics
      What is SQL?

      Overview of relational databases and schema structure

      Introduction to Oracle database environment

      2. Creating Tables
      Defining data types

      Creating tables and adding constraints (Exercise)

      Altering tables, adding/dropping columns, dropping tables

      3. Basic SELECT Statements
      Syntax basics: whitespace, semicolons, case sensitivity

      Selecting all or specific columns (Exercise)

      Sorting and filtering results with ORDER BY and WHERE clauses (Exercise)

      Handling NULL values and using logical operators

      Limiting rows with FETCH

      4. Oracle SQL Functions
      Using the DUAL table and column aliases

      Numeric, character, datetime, and NULL-related functions (Exercise)

      Using ROW_NUMBER() and calculated fields

      5. Aggregate Functions and Grouping
      COUNT, SUM, AVG, MIN, MAX (Exercise)

      Grouping with GROUP BY, ROLLUP(), and CUBE()

      Using DISTINCT to remove duplicates

      6. Joins and Subqueries
      Inner and outer joins (Exercise)

      Writing subqueries in SELECT, WHERE, and FROM clauses (Exercise)

      7. Set Operators
      Using UNION, UNION ALL, INTERSECT, and MINUS (Exercise)

      Working with aliases in combined queries

      8. Conditional Logic with CASE
      Writing simple and searched CASE expressions

      Applying conditional logic in real queries (Exercise)

      9. Data Manipulation Language (DML)
      Introduction to transactions and sessions

      Inserting, updating, and deleting records (Exercise)

      Modifying multiple records at once

      10. Creating and Using Views
      Benefits and use cases for views

      Creating and querying views (Exercise)

      Inline views and their applications