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Database design using ER modelling & Normalization technique

Quick database design course! Learn essential database concepts & design with practical examples. Master database fundamentals fast.

3.8(165)
4,748students
2h 8m
Certificate
Learn App Inventor 2
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Course Content

Database design using ER modelling & Normalization technique is a beginner-level Udemy course taught by Learn App Inventor 2. It runs 2h 8m, is taught in English, and includes a certificate of completion. Learners rate it 3.8 out of 5 from 165 reviews, with 4,748 students enrolled. It is a paid course, last updated October 2018.

This course provides a practical, hands-on approach to database design, using real-world examples to solidify your understanding. You'll master essential database concepts and learn how to build robust and efficient systems.

Here's a breakdown of what you'll learn:

  • Fundamental Database Concepts: Grasp the basic concepts and definitions that form the foundation of database management.
  • Entity-Relationship (ER) Modeling: Learn to build an ER model to visually represent data relationships.
  • Database Design & Implementation: Transform your ER model into a physical database design, ready for implementation.
  • Normalization Techniques: Understand and apply the normalization technique for designing well-structured and optimized database tables.

Why choose this course?

  • Design Efficient Databases: Gain the skills to design an efficient database suitable for any application, from simple to complex.
  • Easy-to-Understand Explanations: Benefit from clear explanations, with every topic illustrated using practical examples for easy comprehension.
  • Beginner-Friendly: Start this course even if you're a complete beginner with no prior database experience.
  • Dedicated Support: Ask questions at any time and receive personalized guidance.
  • Lifetime Access: Keep the course forever and revisit the material whenever you need a refresher.

This course is perfect for anyone looking to develop skills in database design, data modeling, and database normalization.

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