Instructor Led Training
Data Modeling
Instructor-led training (ILT) is a traditional form of education that involves a skilled instructor leading a classroom or virtual session to deliver training to learners.
Limited seat available, enroll before date May 13, 2024.
why should buy instructor led course?
Investing in an instructor-led course offers several advantages that can greatly enhance your learning experience. One of the key benefits is the opportunity to receive expert guidance from seasoned professionals who possess extensive knowledge and expertise in the subject matter. These instructors can offer valuable insights, address your queries, and provide guidance tailored to your specific needs. Additionally, instructor-led courses follow a well-structured curriculum, ensuring a comprehensive learning journey that covers all the essential topics. This structured approach enables you to progress in a logical and organized manner, building a strong foundation of knowledge. Moreover, instructor-led courses often provide personalized feedback, allowing you to receive individualized assessments and guidance to improve your understanding and skills.
Professional Certificate.
Obtaining certification of completion is a significant benefit that comes with many instructor-led courses. This certification serves as formal recognition of your successful completion of the course and showcases your commitment to learning and professional development. It can be a valuable addition to your resume or portfolio, highlighting your expertise and dedication in a specific field or skill set. Certification demonstrates to employers, clients, or colleagues that you have acquired the necessary knowledge and skills to perform tasks effectively. It can enhance your credibility and open doors to new career opportunities or advancements. Moreover, certification provides a sense of accomplishment and satisfaction, validating the time and effort you invested in the course. Ultimately, the certification of completion offers tangible evidence of your commitment to continuous learning and professional growth, making it a worthwhile asset in today's competitive job market.
Estimated time
4 Months
Enroll by
May 13, 2024
Skills acquired
No degree or skills required.
How Does It Work?
Zoom meeting with student twice a week.
As an educator, I have implemented a structured learning approach by conducting Zoom meetings with my students twice a week. This interactive platform has become an invaluable tool for fostering meaningful connections and facilitating engaging discussions in a virtual classroom setting.
AI Tutor support.
Mentoring support plays a crucial role in guiding individuals towards personal and professional growth. By offering mentorship, I provide a safe and supportive space for individuals to explore their goals, challenges, and aspirations.
Assignments and Grade.
Assignments and grading are essential components of the educational process, allowing students to demonstrate their understanding of concepts and skills while providing teachers with a means to assess their progress. Assignments are designed to reinforce learning, encourage critical thinking, and promote independent problem-solving.
Hands-On Labs
21+ LiveLab | 18+ Video tutorials | 00+ Minutes
Here's what you will learn
Lessons 1: Introduction
- Who Should Read This Course
- What the Course Covers
Lessons 2: Introduction to Data Modeling
- Data-Centric Design
- Anatomy of a Data Model
- Importance of Data Modeling
- Measures of a Good Data Model
- How Data Models Fit Into Application Development
- Data Modeling Participants
Lessons 3: Relational Model Components
- Conceptual and Logical Model Components
- Physical Model Components
Lessons 4: Data and Process Modeling
- Data Model Diagramming Alternatives
- Process Models
- Unified Modeling Language (UML)
- Relating Entities and Processes
Lessons 5: Organizing Database Project Work
- The Traditional Life Cycle
- Nontraditional Life Cycles
- The Project Triangle
Lessons 6: Conceptual Data Modeling
- The Conceptual Modeling Process
- Creating the Model
- Evaluating the Model
Lessons 7: Logical Database Design Using Normalization
- The Need for Normalization
- Applying the Normalization Process
- Denormalization
- Practice Problems
Lessons 8: Beyond Third Normal Form
- Advanced Normalization
- Resolving Supertypes and Subtypes
- Generalizing Attributes
- Alternatives for Reference Data
Lessons 9: Physical Database Design
- The Physical Design Process
- Designing Tables
- Integrating Business Rules and Data Integrity
- Adding Indexes for Performance
- Designing Views
Lessons 10: Alternatives for Incorporating Business Rules
- The Anatomy of a Business Rule
- Implementing Business Rules in Data Models
- Limitations on Implementing Business Rules in Data Models
- Functional Classification of Business Rules
Lessons 11: Alternatives for Handling Temporal Data
- Temporal Data Structures
- Calendar Data Structures
- Business Rules for Temporal Data
Lessons 12: Modeling for Analytical Databases
- Data Warehouses
- Data Marts
- Modeling Analytical Data Structures
- Loading Data into Analytical Databases
Lessons 13: Enterprise Data Modeling
- Enterprise Data Management
- The Enterprise Data Model
frequently asked questions
Ready to get started?