SQL for Data Analytics on Oracle with SQL Server & MySQL

Unlock Your Potential: SQL Mastery for Oracle 21c & Beyond

Ready to transform from a SQL beginner into an Oracle database expert? This comprehensive course guides you through the essentials of managing SQL on the powerful Oracle 21c database, with valuable comparisons to MySQL and SQL Server (T-SQL). You'll gain hands-on experience using Oracle SQL Developer, building a solid foundation for a successful career in Oracle technology.

Why Master SQL for Oracle?

SQL is a fundamental skill for any Oracle professional. This course provides the crucial first step toward becoming a true Oracle expert by demystifying the SQL language and its implementation within the Oracle Database 21c environment. We'll explore the core concepts and practical applications you need to confidently work with Oracle databases.

What You'll Learn:

• SQL Fundamentals for Oracle 21c: We start with the basics, covering everything you need to code effectively in Oracle SQL.
• Data Selection & Filtering: Learn to retrieve specific data using powerful SELECT statements and refine your results with various filtering techniques.
• Data Manipulation with Functions: Discover how to use built-in functions to transform and manipulate data within your queries.
• Joining Tables: Master the art of combining data from multiple tables using JOIN clauses, enabling you to create complex and insightful queries.
• Data Modification (DML): Learn to update, insert, and delete data using DML commands like DELETE and UPDATE.
• Data Definition (DDL): Understand how to create, alter, and drop database objects using DDL commands.
• Aggregate Functions: Analyze and summarize data using aggregate functions like SUM, AVG, COUNT, and MAX.
• Analytic Functions: Gain insights into data trends and patterns with powerful analytic functions.
• Set Operators: Utilize set operators like UNION, INTERSECT, and EXCEPT to combine and compare results from multiple queries.
• Subqueries and CASE Statements: Write complex queries using subqueries and conditional logic with CASE statements.
• DML, DCL, and DDL Language: Understand the different categories of SQL commands and their purpose.
• Comparison with MySQL & SQL Server (T-SQL): Gain valuable insights into the similarities and differences in SQL implementations across popular database platforms.

Who is this course for?

This training is perfect for:

• Beginner Database Developers: Kickstart your database development career.
• Data Scientists: Extract and analyze data efficiently.
• Data Analysts: Gain the skills to query and manipulate data for insightful reporting.
• Students: Build a strong foundation in database management.
• Anyone with no prior SQL or Oracle experience: We start from the ground up!

Learning Objectives: Upon completion of this course, you will be able to:

• Create and manage database tables.
• Effectively select data from tables.
• Filter data based on specific criteria.
• Utilize functions to manipulate and transform data.
• Combine data from multiple tables using joins.
• Perform data modification (DML) operations.
• Define and manage database objects (DDL).
• Group and summarize data using aggregate functions.
• Apply analytic functions for advanced data analysis.
• Use set operators to combine query results.
• Write complex queries using subqueries and CASE statements.

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