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Business Analysis Data Modelling

SynopsisBusiness Analysis – Data Modelling, available at $64.99...
Business Analysis Data Modelling  No.1

Business Analysis – Data Modelling, available at $64.99, has an average rating of 4.21, with 20 lectures, 4 quizzes, based on 990 reviews, and has 4832 subscribers.

You will learn about Understand and apply the key concepts of Data Modelling in Business Analysis. Construct data models using Entity Relationship Diagrams. Construct data models using Class Diagrams – using UML (Unified Modelling Language) notation. Analyse requirements to construct Data Models for new or enhanced systems, that accurately reflect business needs. This course is ideal for individuals who are Business Analysts who need to learn more about data modelling and data analysis. or Business Users who will be involved in requirements analysis. It is particularly useful for Business Analysts who need to learn more about data modelling and data analysis. or Business Users who will be involved in requirements analysis.

Enroll now: Business Analysis – Data Modelling

Summary

Title: Business Analysis – Data Modelling

Price: $64.99

Average Rating: 4.21

Number of Lectures: 20

Number of Quizzes: 4

Number of Published Lectures: 20

Number of Published Quizzes: 4

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: £44.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand and apply the key concepts of Data Modelling in Business Analysis.
  • Construct data models using Entity Relationship Diagrams.
  • Construct data models using Class Diagrams – using UML (Unified Modelling Language) notation.
  • Analyse requirements to construct Data Models for new or enhanced systems, that accurately reflect business needs.
  • Who Should Attend

  • Business Analysts who need to learn more about data modelling and data analysis.
  • Business Users who will be involved in requirements analysis.
  • Target Audiences

  • Business Analysts who need to learn more about data modelling and data analysis.
  • Business Users who will be involved in requirements analysis.
  • If you are a practising or aspiring Business Analyst this course will help you to develop your career. Learn an essential Business Analysis technique – Data Modelling – from the ground up. Starting with the basic concepts, by the end of the course you will be able to construct data models that accurately reflect business requirements. You will understand how to use both “traditional” Entity Relationship Diagrams and “object oriented” UML (Unified Modelling Language) Class Diagrams. You will be able to apply all of this is practice on systems development projects.

    Contents include:
    Basic Concepts of Data Modelling.
    Business Data Requirements – Entities and Classes.
    Business Data Requirements – Attributes.
    How To Link Things Together – Relationships.
    Business Rules – Optionality.
    Requirements Analysis.

    Some student reviews:
    Very good match for me! A team mate that does modelling tried to teach me and I didn’t understand. This course had me understanding from the first section. Thanks!
    – Lori.
    The instructor explained the concepts and worked through examples for better understanding. This course is awesome!!!
    – Joe.
    This is the BEST COURSE on Data Modelling. It teaches about : Entity, Attributes, Records, Entity Relationship Diagram ..
    The instructor has explained all these lucidly and with practical examples.
    – Parna

    Course Benefits
    The course is highly practical and case study based. You will have plenty of chances to apply and consolidate your new skills. The course includes practical assignments which you can complete and receive feedback. Your tutor, Steve McIntosh, will give you as much help and support as you need.

    So – if you want to learn something useful, that you can apply in practice and will help to develop your career as a Business Analyst – please dive in and join the course. I look forward to working with you!

    Course Curriculum

    Chapter 1: Data Modelling – Course Introduction

    Lecture 1: Data Modelling – Course Introduction

    Chapter 2: Data Modelling – Fundamentals

    Lecture 1: Data Modelling Fundamentals – Entities and Objects

    Lecture 2: Data Modelling Fundamentals – Attributes and Keys.

    Lecture 3: Data Modelling Fundamentals – Relationships

    Chapter 3: Data Modelling – Relationships

    Lecture 1: Data Modelling – Relationships Part 1

    Lecture 2: Data Modelling – Relationships Part 2

    Lecture 3: Data Modelling – Relationships Part 3

    Chapter 4: Data Modelling – Case Study – Community Library – Entities & Relationships

    Lecture 1: Community Library Case Study – Introduction

    Chapter 5: Data Modelling – Foreign Keys

    Lecture 1: Data Modelling – Foreign Keys – Part 1

    Lecture 2: Data Modelling – Foreign Keys – Part 2

    Chapter 6: Data Modelling – Many To Many Relationships

    Lecture 1: Data Modelling – Many To Many Relationships

    Chapter 7: Data Modelling – Class Diagrams

    Lecture 1: Class Diagrams – Relationships

    Lecture 2: Class Diagrams – Attributes – Keys – Foreign Keys

    Lecture 3: Class Diagrams – Notation

    Chapter 8: Data Modelling – Optionality In Relationships

    Lecture 1: Entity Relationship Diagram – Optionality – Part 1

    Lecture 2: Entity Relationship Diagram – Optionality – Part 2

    Lecture 3: Class Diagram – Optionality

    Chapter 9: Data Modelling – Case Study – Community Library – Relationships & Optionality

    Chapter 10: Data Modelling – Analysis Of Requirements

    Lecture 1: Data Modelling – The Data Model

    Lecture 2: Data Modelling – Analysis Of Requirements

    Chapter 11: Data Modelling – Course Review

    Lecture 1: Data Modelling – Course Review

    Instructors

  • Business Analysis Data Modelling  No.2
    Steve McIntosh
    Business Analyst
  • Rating Distribution

  • 1 stars: 14 votes
  • 2 stars: 17 votes
  • 3 stars: 120 votes
  • 4 stars: 382 votes
  • 5 stars: 458 votes
  • Frequently Asked Questions

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