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?

Module 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)

Module 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

Module 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

Module 4: 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

Module 5: Advanced SQL Techniques and Database Administration

Session 1: Advanced SQL Techniques

• Brief Overview of Window Functions
• Introduction to Common Table Expressions (CTEs)
• High-Level Understanding of Advanced Joins and Subqueries

Session 2: 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 3: Database Administration

• Briefly Explain Backup and Recovery Strategies
• Mention User and Permissions Management
• Introduce Monitoring and Troubleshooting (Very High-Level)

Session 4: 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

Module 6: Power BI Program Integrating Advanced SQL

Session 1: Power BI Data Modeling

• Overview of Advanced Data Modeling Techniques
• Introduce Working with Complex Data Structures
• Discuss Hierarchies and Time Intelligence

Session 2: Advanced DAX and Power Query

• Introduction to Advanced DAX Functions and Formulas
• Briefly Cover Advanced Power Query Transformations
• Mention Optimizing Data Loading

Session 3: 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 4: Real-Time Power BI Use Cases

• Briefly Discuss Complex Data Scenarios
• Mention Business Intelligence Projects