Mastering Databases From Fundamentals to Advanced Technique
- Development
- Mar 17, 2025

Mastering Databases From Fundamentals to Advanced Technique, available at $49.99, has an average rating of 4.7, with 42 lectures, based on 12 reviews, and has 2123 subscribers.
You will learn about Data Analysis Cycle. Working Structured Data within any Database system. Database Modelling . Handling Data Using Structured Query Language. Creating Business Logic. Filtering and Restricting Data. Transforming and Grouping Data. Create Digital Database. Oracle PL/SQL. Setting Connection to Database Server. Create Complex Data mining Queries. This course is ideal for individuals who are Accountants or Finance Experts or Business Specialists or Human Resources Specialists or Bankers It is particularly useful for Accountants or Finance Experts or Business Specialists or Human Resources Specialists or Bankers.
Enroll now: Mastering Databases From Fundamentals to Advanced Technique
Summary
Title: Mastering Databases From Fundamentals to Advanced Technique
Price: $49.99
Average Rating: 4.7
Number of Lectures: 42
Number of Published Lectures: 42
Number of Curriculum Items: 42
Number of Published Curriculum Objects: 42
Original Price: $189.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
Embark on a journey through the realm of databases with our comprehensive course, “Mastering Databases: From Fundamentals to Advanced Techniques.” This course is designed to equip you with the essential knowledge and practical skills needed to effectively work with data in various database management systems.
Spanning nine sections and forty-two lectures, this course covers everything from the basics of database management to advanced techniques for handling complex data queries and automating business logic.
In Section 1, “Discovering Databases,” you’ll start with an introduction to databases and learn about essential activities when working with data, including different data storage types, types of relational database management systems, and database languages such as SQL.
Moving on to Section 2, “Restricting Data Sets,” you’ll delve into filtering data and restricting query results to obtain the precise information you need.
Section 3, “Transforming and Grouping Data,” explores character and numeric functions, as well as the powerful Group By Clause and HAVING for data aggregation.
Section 4, “INNER JOIN (Matched Data Handling),” introduces you to various types of joins, including natural joins, join with using and on clauses, additional conditions, and self joins for relating multiple entities in your database.
In Section 5, “OUTER JOIN (Unmatched Data Handling),” you’ll learn about outer joins, their implementation, and cross joins for handling unmatched data.
Section 6, “Answering Business Questions (Sub-Queries),” covers sub-queries for answering complex business questions, including single row and multiple rows sub-queries.
In Section 7, “Automate Business Logic (PL/SQL),” you’ll delve into PL/SQL concepts, including creating anonymous blocks, procedures with and without arguments, and functions to automate business logic.
Section 8, “Handle Data By Row (PL/SQL Cursor),” introduces you to cursors for iterating through query results, implementing conditions, and coding functions to calculate taxes.
Finally, in Section 9, “Extended Lab Section,” you’ll put your knowledge into practice with hands-on labs covering connecting to Oracle Server, basic and advanced use of select statements, filtering data, and wildcard comparisons.
Whether you’re a beginner looking to establish a solid foundation in database management or an experienced professional seeking to enhance your skills, “Mastering Databases: From Fundamentals to Advanced Techniques” is your ultimate guide to mastering the world of databases.
Course Curriculum
Chapter 1: Discovering Database.
Lecture 1: Introduction
Lecture 2: Essential Activities of working with Data
Lecture 3: Data storage types
Lecture 4: Types of Relational Database Management systems
Lecture 5: Database Languages
Lecture 6: Use of SQL
Lecture 7: Relating Multiple Entities
Chapter 2: Restricting Data Sets
Lecture 1: Filtering Data and restricting result of query
Chapter 3: Transforming and Grouping Data.
Lecture 1: Character Functions
Lecture 2: Numeric Functions
Lecture 3: Group By Clause and HAVING
Chapter 4: INNER JOIN (Matched Data Handling)
Lecture 1: Types of Join
Lecture 2: Natural Join
Lecture 3: Implementing natural Join
Lecture 4: Join with Using
Lecture 5: Join with ON Clause
Lecture 6: Applying additional conditions
Lecture 7: Self Join
Chapter 5: OUTER JOIN (Unmatched Data Handling)
Lecture 1: Outer Join description.
Lecture 2: Implementation of Outer Join
Lecture 3: Cross Join
Chapter 6: Answering Business Questions (Sub-Queries)
Lecture 1: Single Row Sub-query .
Lecture 2: Multiple Rows Sub-Query
Lecture 3: Implementing Sub-Queries
Lecture 4: Coding Multiple Rows and Single Row Sub-Query
Chapter 7: Automate Business Logic (PL/SQL)
Lecture 1: PL/SQL Concept Explanation
Lecture 2: Create Anonymous Block
Lecture 3: Create Procedure
Lecture 4: Create Procedure with Arguments
Lecture 5: Variables Declaration
Lecture 6: Create Function to calculate Taxes
Lecture 7: Workshop I
Lecture 8: Workshop II
Chapter 8: Handel Data By Row (PL/SQL Cursor)
Lecture 1: Cursor Explanation
Lecture 2: Iteration and Conditions
Lecture 3: Coding Taxes Function
Lecture 4: Implementing Cursor , IF Statement, Loop
Chapter 9: Extended Lab Section
Lecture 1: Lab: Connecting to Oracle Server
Lecture 2: Lab: Basic use of select statement
Lecture 3: Lab: Select with where clause
Lecture 4: Lab: Filter data using where BETWEEN
Lecture 5: Lab: Wild card comparison
Instructors

Osama Hassan
Computer Programmer | Fujitsu Certified System Analyst
Rating Distribution
Frequently Asked Questions
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