Program Objectives:

• Master Advanced SQL Skills: Equip participants with the ability to write complex SQL queries, optimize database performance, and design efficient data models.
• Empower Power BI Proficiency: Develop expertise in Power BI for creating impactful data visualizations, reports, and interactive dashboards that facilitate data-driven decision-making.
• Enable Seamless Data Integration: Teach participants how to extract, transform, and load (ETL) data from various sources, ensuring seamless integration with Power BI.
• Enhance Data Security: Provide insights into implementing robust data security measures to protect sensitive information within databases and reports.
• Optimize Performance: Enable participants to fine-tune SQL queries and Power BI reports for enhanced performance and responsiveness.
• Promote Real-World Applications: Emphasize practical, real-world applications of SQL and Power BI for immediate, actionable insights.
• Foster Collaboration: Encourage collaboration and effective communication within teams for efficient data analysis and reporting.
• Drive Informed Decision-Making: Empower participants to transform data into actionable insights, aiding organizations in making more informed decisions.
• Prepare for Career Advancement: Equip individuals with the skills and knowledge necessary to advance in data-related roles and excel in the fields of data analytics, business intelligence, and data engineering.
• Encourage Lifelong Learning: Instill a commitment to ongoing learning and adaptation in the rapidly evolving fields of data analytics and business intelligence.

What you will learn?

Day 1: SQL Fundamentals and Database Management 

Session 1: SQL Fundamentals and Database Introduction 

• Introduction to SQL and Databases 
• DBMS vs. RDBMS Understanding 
• SQL Standards Overview 
• SQL Sub-languages 
• Oracle Versions Comparison (10g, 11g, 12c) 
• Oracle 12c Installation 
• SQL*Plus and Developer Tool Usage 
• Datatypes in Oracle 
• Operators in Oracle 
• Schema Design and Objects Overview 

Session 2: Data Retrieval Techniques 

• SELECT Statement for Data Retrieval 
• Column and Table Aliases 
• Data Filtering and Sorting within a Single Table 
• Clauses in Oracle: 
• WHERE, HAVING, FROM, GROUP BY, ORDER BY, USING, CONSTRAINT, FOR UPDATE 

Session 3: Working with DDL Commands 

• CREATE Statement for Table Creation 
• Creating Tables from Existing Tables 
• Table Deletion with DROP Command 
• Altering Table Columns 
• Modifying Column Data Types 
• Renaming Table Columns and Entire Tables 
• Using TRUNCATE Command 
• Difference Between DELETE and TRUNCATE 

Session 4: Working with DML Commands 

• Copying Data between Tables 
• Copying Table Structure
• Various Methods of Inserting Rows 
• Updating Record Values with UPDATE Command 
• Deleting Specific Records 
• Utilizing MERGE and INSERT ALL Commands (Project Implementation: Project 1)

Day 2: “Advanced SQL Topics and Data Aggregation” 

Session 1: “Integrity Constraints” 

• Declaring Column-Level Constraints 
• Declaring Row-Level Constraints 
• Adding Constraints to Existing Tables 
• Types of Integrity Constraints: NOT NULL, UNIQUE Key, PRIMARY Key, Referential Integrity, Check Integrity 
• Enabling and Disabling Constraints 
• Retrieving Information About Constraints 

Session 2: “Built-In Functions” 

• Understanding Single Row Functions 
• Using Single Row Functions with Dummy Tables 
• Types of Single Row Functions: String Functions, Date Functions, Mathematical Functions, Conversion Functions, Special Functions, Analytical Functions
• Working with Multi-Row Functions (Project Implementation: Project 2) 

Session 3: “Data Aggregation” 

• Working with Aggregate Functions:COUNT(), SUM(), MAX(), MIN(), AVG() ● Utilizing GROUP BY Clause 
• Working with HAVING Clause 
• Distinguishing Between WHERE and HAVING Clauses 

Day 3: “Advanced SQL Techniques, Subqueries, and Database Security”

Session 1: “Understanding Joins” 

• Importance and Uses of Joins 
• Types of Joins: Equi Join, Non-Equi Join, Self Join, Outer Join, Left and Right Outer Join, Full Outer Join, Cross Join (Project Implementation: Project 3) 

Session 2: “Set Operators and Pseudo Columns” 

• Utilizing Set Operators within a Single Table 
• Working with Set Operator Types: UNION, UNION ALL, INTERSECT, MINUS
• Exploring Pseudo Columns: ROWID, ROWNUM 

Session 3: “Subqueries and Views” 

• Significance of Subqueries 
• Different Types of Subqueries:Single-Row Subqueries, Multi-Row Subqueries, Nested Queries, Multi-Column Subqueries, Correlated Subqueries 
• Using Inline Views and Scalar Queries (Project Implementation: Project 4)

Session 4: “Database Transactions and Security” 

• Working with Transaction Control Language (TCL) 
• Managing Data Control Language (DCL) Commands 
• Using COMMIT and ROLLBACK 
• Leveraging SAVEPOINT and SET TRANSACTION 
• Granting System Privileges to Users 
• Invoking and Revoking Object Privileges 
• Creating Users and Roles

Day 4: Assignment I

Day 5: Assignment II

Day 6 : SQL Advanced Topics and Database Expertise
Session 1: SQL Functions

• Explanation of Scalar functions
• Overview of Aggregate functions
• Introduction to Date and Time functions

Session 2: SQL Procedures and Optimization

• Creating and using Stored Procedures
• Basic introduction to Triggers

Session 3: Database Design and Performance

• Brief overview of Normalization and Denormalization
• Discuss the importance of Indexing for performance
• Introduce Constraints and Data Integrity

Session 4: Query Optimization

• High-level discussion of Query Optimization techniques
• Quick overview of analyzing query execution plans
• Mention the importance of Profiling and Monitoring database performance

Day 7 : Advanced SQL Techniques and Database Administration

Session 5: Advanced SQL Techniques

• Brief overview of Window functions
• Introduction to Common Table Expressions (CTEs)
• High-level understanding of Advanced joins and subqueries

Session 6: SQL Reporting and Analysis

• Creating complex reports with SQL (introduce basic concepts)
• Discuss the role of SQL in data analysis
• Touch on data export and integration

Session 7: Database Administration

• Briefly explain Backup and Recovery strategies
• Mention User and Permissions management
• Introduce Monitoring and Troubleshooting (very high-level)

Session 8: High Availability and Security

• Quick overview of High Availability solutions (replication, clustering)
• Discuss Security best practices and compliance at a high level
• Mention Encryption and Data Protection

Day 8 : Power BI Program Integrating Advanced SQL

Session 9: Power BI Data Modeling

• Overview of Advanced data modeling techniques
• Introduce working with complex data structures
• Discuss Hierarchies and time intelligence

Session 10: Advanced DAX and Power Query

• Introduction to Advanced DAX functions and formulas
• Briefly cover Advanced Power Query transformations
• Mention optimizing data loading

Session 11: Advanced Power BI Visualization and Reporting

• Discuss Advanced visualizations and custom visuals (high-level)
• Introduction to Drillthrough and bookmarks
• Mention Storytelling and reporting best practices

Session 12: Real-Time Power BI Use Cases

• Briefly discuss Complex data scenarios
• Mention Business intelligence projects