This highly-rated course boasts a 4.3-star-star rating from 0 reviews and has successfully guided 4,119 students in mastering Database Design & Development skills. Featuring 14 hour(s) of expert-led content delivered in English, this course offers thorough training to enhance your Social Science expertise. The course details were last updated on December 24, 2024. This coupon code is brought to you by Anonymous.
- Expired on October 04, 2025
- Last Update: October 04, 2025
- Price: 19.99 $
About This Course
Databases are the spine of all major applications today! Whether internet-based, financial, social, administrative or intranet applications, without databases they all are namesake! Oracle, Microsoft SQL Server, have emerged as leading commercial systems whereas MySQL, PostgreSQL have led the open-source.
While DBMSs differ profoundly, they resemble a common set of models, design paradigms and a Structured Query Language (SQL). With this course, our main intention is to cover these details.
Who is the course for?
This course is designed for learners who are:
beginners in this field
want to prepare for University examinations
want to prepare for placement interviews
software professionals who want to quick start there carrier as a Database expert
in a short time span.
What topics will this course cover?
Basics of DBMSs
Comparison of DBMS with File Based System
Three Level Architecture of DBMS
Different models of DBMS- Relational, Hierarchical, Network Data models with Data operations on them.
Understanding Primary, Foreign Key, Super Key, Candidate key and Artificial key
Designing ER Model
Concept of Entity, Entity Set, Strong and weak entity, Total and Partial Dependence
Conversion of ER Model to Tables
Learn Normalization from scratch.
Concept of Functional Dependence, Fully Functional Dependence, Transitive Dependence and Multi Value Dependence
Transaction Management
Full SQL: Creation of Tables
Insertion, Updation and Deletion of Data
Alter Table
Joining of Tables
Cartesian Product, Inner Join, Outer Join and Self Join
Grouping of Data in SQL
