Explore the transformative capabilities of cloud computing in data engineering. This course will teach you how to design, deploy, and manage scalable and efficient data solutions in the cloud.

The whole field of machine learning revolves around data. This course will teach you how to properly choose between the various AWS data repositories, ingestion services, and transformation services in a cost-effective, best-practice manner.

Explore data engineering concepts on Microsoft Azure’s cloud platform.

Understand frameworks and strategies for managing data privacy, security, and compliance.

In this short session, we'll focus on Master Data, Reference Data and Metadata Management and will walk through a number of scenarios to illustrate how they solve real-world problems that could be holding your business back and exposing it to risk.

Gain an introduction to data governance, exploring its meaning, purpose, and how to implement a data governance framework.

This course will navigate the administrative areas of the Power BI tenant for settings and security roles related to governance of Power BI.

Every organization in the world is now reliant on data. This course introduces key concepts for understanding data governance. You will discuss key components, functions, roles, and existing frameworks for a data governance program.

This course introduces key concepts for successfully operating a data governance program. You'll explore establishing the program, its core functions and roles, and best practices and common challenges faced by a data governance program.

This course equips you with the skills and knowledge needed to build regulated, compliant data platforms that respect user privacy and trust.

This course is a full walkthrough of how to include security and data privacy into your data governance program. You will explore how current standards, laws, and regulations apply and how to address risks.

Data normalization best practices are essential for organizing and standardizing data effectively. In this course, you will gain an understanding of data quality dimensions, roles and responsibilities, and best practices for ensuring data quality.