Data Modelling (Analytics)

Duration: Hours



    Training Mode: Online



    UNIT 1 : Introduction to Data Modeling:

    Definition of data modeling
    Importance of data modeling in analytics
    Overview of data modeling techniques and methodologies

    UNIT 2 : Fundamentals of Analytics:

    Introduction to analytics and its role in decision-making
    Types of analytics: descriptive, diagnostic, predictive, and prescriptive analytics
    Business Intelligence (BI) and analytics tools

    UNIT 3 : Data Types and Structures:

    Understanding different data types
    Overview of data structures (tables, documents, graphs, etc.)
    Relational vs. non-relational databases

    UNIT 4 : Relational Database Concepts:

    Basics of relational databases
    Tables, rows, and columns
    Primary keys, foreign keys, and relationships

    UNIT 5 : Entity-Relationship Diagrams (ERD):

    Creating and interpreting ERDs
    Entities, attributes, and relationships
    Cardinality and normalization

    UNIT 6 : Dimensional Modeling:

    Basics of dimensional modeling for data warehousing
    Fact tables and dimension tables
    Star schema and snowflake schema

    UNIT 7 : Data Modeling Tools:

    Overview of popular data modeling tools
    Hands-on experience with a data modeling tool
    Creating and modifying data models

    UNIT 8 : Data Modeling Best Practices:

    Design principles for effective data models
    Ensuring data integrity and accuracy
    Performance considerations in data modeling

    UNIT 9 : Metadata Management:

    Importance of metadata in data modeling
    Strategies for metadata management
    Impact of metadata on analytics and reporting

    UNIT 10 : Data Modeling for Analytics Applications:

    Designing data models for specific analytics applications
    Incorporating predictive and prescriptive analytics in data models
    Case studies of successful analytics data modeling projects

    UNIT 11 : Data Quality and Governance:

    Ensuring data quality in the modeling process
    Data governance and compliance considerations
    Data stewardship and accountability

    UNIT 12 : Advanced Topics in Data Modeling:

    Big data and data modeling
    Streaming data and real-time analytics
    NoSQL databases and their impact on data modeling

    UNIT 13 : Practical Exercises and Projects:

    Hands-on exercises to apply data modeling concepts
    Real-world projects to reinforce learning
    Peer collaboration and feedback


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