When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Developing SQL queries for oracle databases
Mastering SQL Queries for Oracle Databases: Unlock the Full Potential of Your Data

This Course Includes
udemy
4.2 (6 reviews )
4h 3m
english
Online - Self Paced
professional certificate
Udemy
About Developing SQL queries for oracle databases
Unlock the power of data with
Developing SQL Queries for Oracle Databases
, a comprehensive course designed to teach you how to efficiently retrieve, manipulate, and manage data using Oracle SQL. Whether you’re a complete beginner or someone looking to deepen your knowledge of Oracle databases, this course provides the tools, techniques, and confidence you need to excel in database query development.
Why Learn SQL for Oracle Databases?
In today’s data-driven world, SQL (Structured Query Language) is the cornerstone of database management and analytics. Oracle, one of the most powerful database platforms, is widely used across industries for managing critical business data. Mastering SQL for Oracle databases opens doors to exciting career opportunities in data analytics, software development, database administration, and IT management. This course equips you with the essential skills to build robust queries, analyze data effectively, and tackle real-world database challenges.
What You’ll Learn
This course is designed to guide you step-by-step through SQL query development with Oracle databases. The curriculum is divided into clear, structured sections to ensure you build a solid foundation and progress seamlessly to advanced topics.
Section 1: Introduction and Oracle Database Setup
Learn the basics of Oracle SQL, essential database concepts, and how to set up your development environment. From downloading and installing Oracle 21C to unlocking sample schemas and configuring tools like SQL Developer and TOAD, you’ll be fully equipped to start working with Oracle databases.
Section 2: Essential SQL Query Components
Discover the building blocks of effective queries, including subqueries, views, and optimization techniques. You’ll also learn to remove duplicates and streamline your data retrieval process.
Section 3: SQL Aggregate Functions
Master functions like AVG, COUNT, SUM, MIN, and MAX to analyze and summarize data with precision.
Section 4: Single-Row Functions
Explore character, numeric, date, and conversion functions to manipulate and format data to meet your specific needs.
Section 5: Analytical Functions
Perform advanced data analysis with powerful functions like RANK, DENSE_RANK, LEAD, LAG, and LISTAGG. You’ll uncover trends, compare datasets, and gain deep insights into your data.
Section 6: Complex Queries with Joins
Combine data from multiple tables using different types of joins, including SELF, EQUI, NON-EQUI, and OUTER joins. Build complex queries to extract meaningful information from your datasets.
Section 7: Set Operators
Manipulate and combine query results with operators like UNION, INTERSECT, and MINUS to achieve advanced query functionalities.
Hands-On, Practical Learning
This course goes beyond theory, emphasizing real-world applications. You’ll work on practical exercises and projects that simulate real-life scenarios, such as creating queries for sample business data and developing analytics tools. Each concept is reinforced through guided examples to ensure you gain both confidence and proficiency.
Who Is This Course For?
This course is ideal for:
Beginner programmers looking to enter the world of databases.
Data analysts and IT professionals who want to enhance their SQL skills.
Students, self-learners, and career-changers seeking a comprehensive introduction to Oracle SQL.
Web and application developers who need to integrate SQL queries into their projects.
What You’ll Achieve
By the end of this course, you’ll have the skills to:
Write efficient SQL queries for Oracle databases.
Perform data analysis using aggregate and analytical functions.
Manage and optimize large datasets.
Build queries for complex real-world scenarios. Start your journey to mastering Oracle SQL today, and gain the expertise to unlock the full potential of your data. Enroll now and take your skills to the next level!
What You Will Learn?
- Understand the basics of Oracle SQL and database concepts. .
- Install and configure Oracle Database on your system. .
- Connect to Oracle databases using SQLPlus, SQL Developer, and TOAD. .
- Unlock and work with sample schema accounts and tables in Oracle. .
- Start and stop the Oracle Database Server and manage the Oracle Listener. .
- Create new database users and tables for custom applications. .
- Write effective subqueries to enhance query complexity and functionality. .
- Optimize SQL queries for better performance and efficiency. .
- Remove duplicate records using appropriate SQL techniques. .
- Create and use views to simplify query writing and manage data access. .
- Use aggregate functions like AVG, COUNT, MAX, MIN, and SUM to perform data summarization. .
- Apply aggregate functions to gain insights from data within tables. .
- Utilize character functions to manipulate text data effectively. .
- Apply conversion functions to transform data between different formats. .
- Work with date functions to manage and calculate dates in SQL queries. .
- Use numeric functions to perform advanced mathematical calculations. .
- Analyze data trends using functions like RANK, DENSE_RANK, and ROW_NUMBER. .
- Compare data sets using LEAD and LAG functions. .
- Aggregate lists of data into a single result with the LISTAGG function. .
- Identify the first and last records in a group with FIRST and LAST functions. .
- Master various types of joins, including SELF, EQUI, NON-EQUI, CARTESIAN, and OUTER joins. .
- Combine and retrieve data from multiple tables using advanced join techniques. .
- Use set operators like UNION, UNION ALL, INTERSECT, and MINUS to manipulate and combine query results. .
- Develop complex SQL queries by effectively integrating set operators and joins. Show moreShow less.