Data Modeling and Architecture

This course is part of Microsoft Data Visualization Professional Certificate

Instructor: Microsoft

Skills you'll gain

  •   Data Architecture
  •   Power BI
  •   Data Analysis Expressions (DAX)
  •   Data Ethics
  •   Relational Databases
  •   Data Cleansing
  •   Data Quality
  •   Star Schema
  •   Data Modeling
  •   Data Governance
  •   Data Security
  •   Snowflake Schema
  •   Extract, Transform, Load
  •   Information Privacy
  •   Database Design
  •   Data Integrity
  • There are 4 modules in this course

    This program is for anyone interested in data analytics and visualization; there are no prerequisites. To get the most out of the learning experience, it is recommended to follow the courses in sequence, as each one builds on the skills and knowledge gained in the previous ones. At this point, you should have a strong understanding of different types of visualizations and their appropriate use, along with the ability to create cohesive and compelling reports in Power BI. You should also be capable of identifying and addressing common design problems in reports, producing audience-focused reports by understanding business needs. Additionally, you should also be comfortable configuring multiple data sources, cleaning and transforming data using Power Query, and ensuring data integrity and quality. These skills will serve as the foundation for more advanced tasks, such as building and maintaining relationships in data models, writing DAX calculations, and managing data privacy and ethics concerns in Power BI.

    Data Analysis Expressions

    Data privacy and security

    Final project and assessment: Data Modeling and Architecture

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