Working in a hands-on learning environment, led by our expert instructor, you'll explore:  

• Basic RDBMS Principles: Learn the art of relational design, entity relationship diagrams, data domains, and more. 
• The SQL Language and Tools: Get acquainted with SQL*Plus, EZConnect, and other vital SQL and PL/SQL commands. 
• Using SQL Developer: Configure connections, understand different tabs, and become proficient in Query Builder. 
• Essential Query Mechanics: Grasp SQL query basics, functions, ANSI 92 Joins, ANSI 99 Joins, and delve into subqueries. 
• Advanced Analytics: Explore regular expressions, analytics, ranking functions, pattern matching, and more. Throughout the course, hands-on labs will enable participants to apply the learned concepts directly, simulating real-world projects. Whether designing intricate data structures or performing nuanced data analyses, these exercises provide a practical understanding of how SQL can be applied on the job. 
• Data Analysis Essentials: Discover how to extract, analyze, and interpret data, deriving insights that can guide organizational strategies. 
• Database Management: Learn to construct and manage sophisticated database systems, ensuring efficiency and reliability. 
• Versatile Tool Utilization: Master tools like SQL Developer and SQL*Plus, harnessing their full capabilities to optimize your database operations. 

Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate. We offer additional SQL, database, data analytics and other related courses which may be blended with this course for a track that best suits your development objectives.  

• Basic Computer Literacy: Familiarity with operating systems, file management, and general computer navigation to ensure a smooth transition into learning SQL tools and environments. 
• Understanding of Fundamental Data Concepts: A grasp of basic data concepts like tables, records, and fields would aid in understanding relational databases and how SQL operates within them. 
• Basic technical background: Although specific prior scripting experience isn’t required to attend, we recommend that you have a background in IT or other technical topics or skills 

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We will work with you to tune this course and level of coverage to target the skills you need most. Course agenda, topics and labs are subject to adjust during live delivery in response to student skill level, interests and participation.  

Basic RDBMS Principles 

• Relational design principles 
• Accessing data through a structured query language 
• Entity relationship diagrams 
• Data Domains 
• Null values 
• Indexes 
• Views 
• Denormalization 
• Data Model Review 

The SQL Language and Tools 

• Using SQL*Plus 
• Why Use SQL*Plus When Other Tools Are Available? 
• Starting SQL*Plus 
• EZConnect 
• SQL Commands  
• PL/SQL Commands 
• SQL*Plus Commands 
• The COLUMN Command 
• The HEADING Clause 
• The FORMAT Clause 
• The NOPRINT Clause 
• The NULL Clause 
• The CLEAR Clause 
• Predefined define variables 
• LOGIN.SQL  
• Command history 
• Copy and paste in SQL*Plus 
• Entering SQL commands 
• Entering PL/SQL commands 
• Entering SQL*Plus commands 
• Default output from SQL*Plus 
• Entering Queries 
• What about PL/SQL?  

Using SQL Developer 

• Choosing a SQL Developer version 
• Configuring connections 
• Creating A Basic Connection 
• Creating A TNS Connection 
• Connecting 
• Configuring preferences 
• Using SQL Developer 
• The Columns Tab 
• The Data Tab 
• The Constraints Tab 
• The Grants Tab 
• The Statistics Tab 
• Other Tabs 
• Queries In SQL Developer 
• Query Builder 
• Accessing Objects Owned By Other Users 
• The Actions Pulldown Menu 
• Differences between SQL Developer and SQL*Plus  
• Reporting Commands Missing In SQL Developer 
• General Commands Missing In SQL Developer 
• Data Dictionary report 
• User Defined reports 
• Using scripts in SQL Developer 

SQL Query Basics 

• Understanding the data dictionary 
• Exporting Key Data Dictionary Information 
• The Dictionary View 
• Components of a SELECT Statement  
• The SELECT Clause 
• The FROM Clause 
• The WHERE Clause 
• The GROUP BY Clause 
• The HAVING Clause 
• The ORDER BY Clause 
• The START WITH And CONNECT BY Clauses 
• The FOR UPDATE Clause 
• Set Operators 
• Column Aliases 
• Fully Qualifying Tables and Columns  
• Table Aliases 
• Using DISTINCT and ALL in SELECT statements  

WHERE and ORDER BY 

• WHERE clause basics 
• Comparison operators 
• Literals and Constants in SQL 
• Simple pattern matching 
• Logical operations 
• The DUAL table 
• Arithmetic operations 
• Expressions in SQL 
• Character operators 
• Pseudo columns 
• Order by clause basics 
• Ordering Nulls 
• Accent and case sensitive sorts 
• Sampling data 
• WHERE and ORDER BY in SQL Developer 
• All, Any, Some 

Functions 

• The basics of functions 
• Number functions 
• Character functions 
• Date functions 
• Conversion functions 
• Other functions 
• Large object functions 
• Error functions 
• The RR format mode; 
• Leveraging your knowledge 

ANSI 92 JOINS 

• Basics of ANSI 92 Joins 
• Using Query Builder with multiple tables 
• Table Aliases 
• Outer joins 
• Outer Joins In Query Builder 
• Set operators 
• Self-referential joins 
• Non-Equijoins 

ANSI 99 Joins 

• Changes with ANSI99 
• CROSS Join 
• NATURAL Join 
• JOIN USING 
• JOIN ON 
• LEFT / RIGHT OUTER JOIN 
• FULL OUTER JOIN 

GROUP BY and HAVING 

• Introduction to GROUP functions Limiting Rows 
• Including NULL 
• Using DISTINCT With Group Functions 
• GROUP function requirements  
• The HAVING clause 
• Other GROUP function rules 
• Using Query Builder with GROUP clauses 
• ROLLUP and CUBE 
• The Grouping function 
• Grouping Sets 

Subqueries 

• Why use subqueries?  
• WHERE clause subqueries 
• FROM clause subqueries 
• HAVING clause subqueries 
• CORRELATED subqueries 
• SCALAR subqueries 
• DML and subqueries  
• EXISTS subqueries  
• Hierarchical queries  
• TOP N AND BOTTOM N queries 
• Creating subqueries using Query Builder 

Regular Expressions 

• Available Regular Expressions 
• Regular Expression Operators 
• Character Classes 
• Pattern matching options 
• REGEX_LIKE 
• REGEXP_SUBSTR 
• REGEXP_INSTR 
• REGEXP_REPLACE 
• REGEXP_COUNT 

Analytics 

• The WITH clause 
• Reporting aggregate functions 
• Analytical functions 
• User-Defined bucket histograms 
• The MODEL clause 
• PIVOT and UNPIVOT 
• Temporal validity 

More Analytics 

• RANKING functions 
• RANK 
• DENSE_RANK 
• CUME_DIST 
• PERCENT_RANK  
• ROW_NUMBER  
• Windowing aggregate functions  
• RATIO_TO_REPORT 
• LAG / LEAD 
• Linear Regression functions 
• Inverse Percentile functions 
• Hypothetical ranking functions 
• Pattern Matching