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Keep shoppingLearn SQL For Oracle Databases - Using Toad and AI Database
5,242 students
Learn SQL For Oracle Databases - Using Toad and AI Database
Learn how to communicate with oracle databases using Toad for Oracle . Learn how to create,read,update and delete data.
Created bySkill Tree
Last updated 2/2026
English
What you'll learn
- Install and configure an Oracle lab environment including Oracle 11g, SQL Developer, and Toad for Oracle on their own machine.
- Explain core relational database concepts such as tables, keys, relationships, constraints, and ER diagrams in the context of Oracle.
- Use professional-grade tools (Toad and SQL Developer) to connect to Oracle databases, browse schemas, and generate ERDs from existing data models.
- Create and manage database objects using SQL sublanguages, including DDL commands (CREATE, ALTER, TRUNCATE, DROP).
- Insert, update, delete, and query data using DML statements while following best practices for safe and readable SQL.
- Read and filter data effectively using WHERE clauses, operators, sorting, and limiting techniques to answer business questions.
- Work confidently with joins (inner, outer, self, non-equi, Cartesian) to combine data from multiple related tables.
- Use built-in Oracle functions (character, numeric, date, conversion, and aggregate functions) to transform and summarize data.
- Apply analytic functions such as RANK, DENSE_RANK, ROW_NUMBER, LAG, LISTAGG, FIRST and LAST to perform advanced reporting analysis.
- Understand Oracle data types, constraints, and views, including using the DUAL table and set operators to structure queries
- Create an Oracle Cloud account, provision an Oracle Autonomous Database, and access it through Database Actions in the browser.
- Explore and understand the SH star schema, including its fact and dimension tables and how they support enterprise analytics.
- Build enterprise-level SQL analyses on the SH schema for key KPIs, time-series trends, customer behavior, and product performance.
- Produce executive-ready reports and dashboards from Oracle SQL queries that turn raw data into clear, actionable business insights
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Course content
8 sections • 72 lectures • 7h 14m total length
Requirements
- No prior Oracle or SQL experience is required; the course starts from core database and SQL basics using simple, practical examples.
- Basic computer literacy is recommended (installing software, navigating folders, copying files, using a web browser).
- Access to a Windows PC or laptop with at least 8 GB RAM and enough free disk space to install Oracle 11g and tools like SQL Developer and Toad.
- A stable internet connection to download Oracle software, Toad for Oracle, Notepad++, and to access Oracle Cloud Infrastructure (OCI) for the Autonomous Database section.
- Ability to create a free Oracle account to download Oracle Database software and to sign up for Oracle Cloud (for the enterprise and Autonomous Database modules).
- Willingness to follow step-by-step setup instructions for creating a local Oracle lab environment.
- An interest in data, reporting, or analytics, even if you have never written a SQL query before.
- Optional but helpful: prior exposure to spreadsheets (e.g., Excel or Google Sheets) so concepts like rows, columns, and filters feel familiar.
- Optional but helpful: some familiarity with any programming or scripting language, though all SQL syntax will be explained from scratch.
Description
Learn SQL for Oracle Databases – Using Toad and AI Database is a practical, project-focused course that prepares you to query, analyze, and present data using modern Oracle tools on both desktop and cloud. Designed for beginners and working professionals, it combines classic SQL skills with Oracle Autonomous AI Database so you can solve real business problems end-to-end.
By the end of this course, you will be able to:
Install and configure Oracle Database 11g, Oracle SQL Developer, and Toad for Oracle on your own lab environment.
Work confidently with Oracle schemas like HR and SH, generate ERDs, and understand relational data models visually.
Write solid SQL using DDL, DML, joins, constraints, views, set operators, and built-in functions for dates, numbers, and text.
Apply analytic functions (RANK, DENSE_RANK, ROW_NUMBER, LAG, LISTAGG, FIRST/LAST) for reporting and advanced analysis.
Connect to Oracle Cloud Infrastructure, create an Autonomous Database, and use Database Actions for browser-based SQL and dashboards.
Perform enterprise analytics on the SH star schema, including KPIs, time-series trends, customer behavior, and product performance.
Turn SQL results into executive-ready insights and reports that drive data-informed decisions.
This course is ideal if you are a data analyst, business intelligence developer, aspiring Oracle SQL developer, or an IT professional who wants to move from basic queries to enterprise-grade analytics and AI-enabled databases. All exercises are guided step by step so you can follow along, practice as you go, and build a reusable Oracle SQL and cloud analytics skill set for your career.
Who this course is for:
- Aspiring SQL developers and database professionals who want a structured, hands-on introduction to Oracle Database using professional tools like Toad and SQL Developer.
- Data analysts, business analysts, and BI professionals who currently work with Excel or other tools and want to move into writing their own SQL queries for reporting and analytics.
- Students, recent graduates, and career changers aiming for roles in data, analytics, or software development who need a strong Oracle SQL foundation to stand out in the job market.
- Developers and IT professionals from non-database backgrounds (e.g., application, web, or support) who need to understand how to query Oracle databases and interpret relational data models.
- Professionals working in organizations that use Oracle Database, who want to deepen their understanding of schemas like HR and SH and gain confidence working directly with production-like data
- Anyone interested in enterprise analytics who wants to see how Oracle Autonomous Database and Oracle Cloud can be used to explore KPIs, time series trends, customer behavior, and product performance without needing to be a DBA.