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Tableau Learning Partner

Data Ecosystem

The Data Ecosystem course will give you a foundational understanding of the entire data ecosystem, including data management. Specifically, this course shows how a business intelligence analyst would organize, access, and use data. You will learn about a variety of data sources along with the use and purpose of each type. Additionally, you’ll learn about the importance of data quality and data governance in relation to effective data management. You’ll also learn about the goals of data management and the principles that form the foundation of modern data architecture. Having a solid understanding of the data ecosystem is important for entry-level roles in business analytics. 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.

Status: Extract, Transform, Load
Status: Spreadsheet Software
BeginnerCourse15 hours

Featured reviews

JH

Reviewed Feb 18, 2024

Helped define a lot of terms I've heard in my career, but wasnt sure what they meant

GO

Reviewed Dec 10, 2023

this course is exactly what I need as i begin to transition from field sales management to sales consultancy with emphasis on business data analysis. Great course!

AA

Reviewed Feb 25, 2024

This course is really detailed, and the instructor made it simple to comprehend.

JC

Reviewed Feb 16, 2024

Excellent background knowledge for understanding data types, relationships, ETL and tools

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