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What you'll learn?
- Understand the fundamental concepts of databases, data models, and their importance.
- Design and create relational databases using Entity-Relationship Diagrams (ERD).
- Normalize and optimize database structures to ensure data integrity and performance.
- Write SQL queries to retrieve, update, and manipulate data in a database.
- Apply database design principles to real-world scenarios and projects.
Course Overview
In today's data-driven world, effective database design is a critical skill for professionals across a range of disciplines, including software development, data analysis, business intelligence, and more. The "Database Design and Management" course is designed to provide students with a comprehensive understanding of the principles, methodologies, and best practices of creating and managing databases.
Course Objectives:
By the end of this course, students will:
Understand Database Fundamentals: Gain a solid grasp of what databases are, why they are essential, and the various types of databases in use today.
Master Data Modeling: Learn how to design databases using Entity-Relationship Diagrams (ERDs) and translate real-world scenarios into structured data models.
Normalization and Optimization: Explore the art of normalizing data to minimize redundancy and optimize database performance.
SQL Proficiency: Acquire proficiency in Structured Query Language (SQL) to interact with and manipulate data in relational databases.
Real-World Application: Apply database design principles to practical, real-world scenarios and projects, gaining hands-on experience.
This course is ideal for:
Computer science students seeking a strong foundation in database design.
IT professionals, including database administrators and developers, looking to enhance their skills.
Data analysts and scientists who require a deeper understanding of database systems.
Business professionals interested in using data for decision-making.
Anyone looking to leverage the power of databases in their careers or projects.
Prerequisites:
Basic computer literacy and familiarity with data concepts are recommended but not required. No prior database design experience is necessary.
Pre-requisites
- No experience required
- A Laptop/desktop with at-least 8GBs of RAM and 10GB free hard disks space
Target Audience
- People considering a career change into a field that requires database knowledge and skills
- Undergraduate or graduate students majoring in computer science, software engineering, or related fields.
- IT professionals looking to expand their knowledge and skills in database design
- Individuals working with data analysis or data science who need to understand how databases are structured
- Individuals who have a general interest in data management and want to understand how databases work
- Business analysts who want to understand how data is stored and retrieved for reporting and decision-making purposes.
Curriculum 53 Lectures 02:59:51
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Section 1 : Introduction
- Lecture 2 :
- Lecture 2 Course Objectives
- Lecture 3 :
- Course Related Files & Resources
-
Section 2 : Getting Started
- Lecture 1 :
- Lecture 3 Overview
- Lecture 2 :
- Lecture 4. File based system
- Lecture 3 :
- Lecture 5. What is a database
- Lecture 4 :
- Lecture 6. types of databases
- Lecture 5 :
- Lecture 7. Emeging Technologies
- Lecture 6 :
- lecture 8. Summary
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Section 3 : Entity Relationship Diagrams (ERD)
- Lecture 1 :
- lecture 9. Overview
- Lecture 2 :
- Lecture 10 Entity Relationship Diagram-1
- Lecture 3 :
- Lecture 11. Conceptual Modelling
- Lecture 4 :
- Lecture 12 - Entities-1
- Lecture 5 :
- Lecture 13 Attributes
- Lecture 6 :
- Lecture 14 Relationships
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Section 4 : Relation Modelling
- Lecture 1 :
- Lecture 15 - Relation Model Overview
- Lecture 2 :
- Lecture 16 - Understaing the Relation Model
- Lecture 3 :
- Lecture 17 - ERD to Relational Notation
- Lecture 4 :
- Lecture 18 - ERD to Relational Notation Part 2
- Lecture 5 :
- Lecture 19 Relational Keys
- Lecture 6 :
- Lecture 20 Integrity Rule Keys
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Section 5 : Relation Model Normalization
- Lecture 1 :
- Lecture 21 - Overview
- Lecture 2 :
- Lecture 22- What is Normalization
- Lecture 3 :
- Lecture 23 - Normalization First Normal Form 1NF
- Lecture 4 :
- Lecture 24 - Normalization Second Normal Form 2NF
- Lecture 5 :
- Lecture 25 - Normalization Third Normal Form 3NF
- Lecture 6 :
- Lecture 26 Resource
- Lecture 7 :
- Lecture 27 Resource
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Section 6 : Physical database design
- Lecture 1 :
- Lecture 28 - Physical Design Overview
- Lecture 2 :
- Lecture 29 - Introduction To SQL
- Lecture 3 :
- Lecture 30 - Types of SQL Statements
- Lecture 4 :
- Lecture 31 Data Types
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Section 7 : Database Implementation Environment Setup
- Lecture 1 :
- Lecture 32- Overview
- Lecture 2 :
- Lecture 34 Installing SQL Server Management Studio and Azure Data Studio
- Lecture 3 :
- Lecture 35 - Installing PG Admin for PostgreSQL
- Lecture 4 :
- Lecture 36 - Installing SQL Developer for Oracle
- Lecture 5 :
- Lecture 37 - Installing MySQL Workbench for MySQL
- Lecture 6 :
- Lecture 38 Setting up Cloud Database Instance in AWS
- Lecture 7 :
- Lecture 39 - Setting Local Environment with SQL Server 2022
- Lecture 8 :
- Lecture 40 - Explorting Azure Data Studio
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Section 8 : The Data Definition Language
- Lecture 1 :
- Lecture 41 Creating a Database
- Lecture 2 :
- Lecture 42 - Creating Tables
- Lecture 3 :
- Lecture 43 Drop Statement
- Lecture 4 :
- Lecture 44 - Altering objects
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Section 9 : Data Manipulation Language
- Lecture 1 :
- Lecture 45 Insert Statement
- Lecture 2 :
- Lecture 46 Select Statement
- Lecture 3 :
- Lecture 48 -Select Statement Pattern Matching
- Lecture 4 :
- Lecture 49 Generated Columns
- Lecture 5 :
- Lecture 50 - Aggregations
- Lecture 6 :
- Lecture 51 Join Statements-1
- Lecture 7 :
- Lecture 52 Update Statement
- Lecture 8 :
- Lecture 53 - Detete Statement
- Lecture 9 :
- Course Resources
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Instructor
654 Course Views
2 Courses
Emar J. Morrison is an experienced database administrator with almost a decade of expertise in the field. He has worked with various organizations, both big and small, and has played an instrumental role in the successful implementation and maintenance of their databases. Emar is well-versed in various cloud platforms, including Amazon Web Services (AWS) and Microsoft Azure.
Apart from his work in database administration, Emar is also an avid investor with a keen interest in the stock market. He believes in the importance of investing as a means of building wealth and achieving financial freedom. Emar has spent years studying the strategies of successful investors and has honed his skills in identifying promising investment opportunities. He has a passion for sharing his knowledge with others and is dedicated to helping people achieve their financial goals.
In addition to his work as a database administrator and investor, Emar is also a content creator. He is passionate about writing and creating informative and engaging content about database administration, cloud platforms like AWS and Azure, investing, and personal finance. Emar's content is designed to educate and empower his audience, providing them with the tools and knowledge they need to succeed.
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