Fundamental Course of Data Modeling (101 Level)

Fundamental Course of Data Modeling (101 Level)

This comprehensive introductory course is designed to provide participants with a solid foundation in the fundamental principles of data modeling. Through a combination of theoretical concepts and practical applications, students will gain a deep understanding of databases, data models, and the data development process. The course covers key components of logical data model schema, explores business data models, and delves into various data modeling techniques. Participants will also learn about specific data modeling tools for SQL Server, as well as the application of data modeling in Salesforce, Power BI, and Oracle environments.

1. Introduction of Database, Data Model, and Data Development Process
   • Overview of databases and their significance
   • Understanding the basics of data models
   • Exploring the data development process and its stages
2. Components of Logical Data Model Schema
   • Entity-Relationship Diagrams (ERD) and their role
   • Attributes, keys, and relationships in a logical data model
   • Normalization and denormalization concepts
3. Business Data Model and Data Modeling Techniques
   • Developing a business data model
   • Techniques for effective data modeling
   • Best practices for creating a robust data model
4. Data Modeling Tools for SQL Server
   • Overview of SQL Server and its data modeling capabilities
   • Hands-on experience with data modeling tools
   • Practical examples and exercises using SQL Server tools
5. Data Modeling in Salesforce, Power BI, and Oracle
   • Utilizing data modeling in Salesforce for efficient data management
   • Integrating data modeling with Power BI for meaningful insights
   • Applying data modeling principles to Oracle databases

Throughout the course, participants will engage in hands-on exercises and real-world scenarios to reinforce their learning. By the end of this 101-level course, students will have gained the knowledge and skills necessary to embark on further studies in data modeling or apply their understanding in professional settings.

1. Introduction of database, datamodel and data development process

2. Components of logical data model schema

3. Business data model and data modeling techniques

4. Data modelng tools for SQL server

5.  Data modeling in salesforce, power bi and oracle

Enroll now and learn today and be a data analyst !