Data Ecosystem

This course is part of Tableau Business Intelligence Analyst Professional Certificate

Instructor: Tableau Learning Partner Instructor

What you'll learn

  •    Describe the purpose and applications of tabular data, databases, data warehouses, data lakes, and ETLs.
  •    Describe the importance of data quality and data governance in relation to data management.
  •    Identify the principles that form the foundation of modern data architecture.
  • Skills you'll gain

  •   Data Storage
  •   Tableau Software
  •   Relational Databases
  •   Extract, Transform, Load
  •   Data Architecture
  •   Data Management
  •   Data Modeling
  •   Data Quality
  •   Data Infrastructure
  •   Data Warehousing
  •   Data Literacy
  •   Spreadsheet Software
  •   Data Lakes
  •   Data Integrity
  •   Database Management
  •   Data Ethics
  •   Business Intelligence
  •   Data Governance
  •   Databases
  • There are 3 modules in this course

    This course is for anyone who is curious about entry-level roles that demand fundamental Tableau skills, such as business intelligence analyst or data reporting analyst roles. It is recommended (but not required) that you have some experience with Tableau Public, but even if you're new to Tableau Public, you can still be successful in this program. By the end of the course, you will be able to: -Describe the purpose and applications of tabular data, databases, data warehouses, data lakes, and ETLs. -Describe the importance of data quality and data governance in relation to data management. -Identify the goals of data management. -Identify the principles that form the foundation of modern data architecture.

    Data Warehousing

    Data Management

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