Cloud Basics for Data Professionals

This course is a high-level introduction to the world of cloud computing.

The cloud ecosystem has grown exponentially in recent years, now storing more than half of the world’s corporate data. Yet most people who interact with cloud services are unaware of what’s going on behind the scenes. Until now.

In this course, we’ll set the stage by defining what cloud computing means and why companies rely on it, draw comparisons against traditional on-premise computing, and explore how different types of data professionals interact with cloud technology.

From there we’ll dig into the core components of cloud architecture, compare different types of cloud services and infrastructure, and review important topics like security, virtualization, cost control, and more.

Next, we’ll explore the modern cloud landscape, and compare services offered by key players like AWS, Microsoft Azure and Google Cloud. We’ll introduce public and private cloud providers, data platforms and software products, and discuss how to mitigate the risk of vendor lock-in.

Last but not least, we’ll walk through unique demos and real-world use cases to showcase how you can begin to leverage these services as a data professional, including workflows built on AWS, Azure, GCP and Snowflake.

Whether you’re an analyst or data scientist interested in cloud computing or a business leader looking to learn about the landscape, this course is for you.

WHO SHOULD TAKE THIS COURSE?

• Everyday people looking to build confidence in cloud technology
• Leaders looking to learn more about the cloud landscape and ecosystem
• Data professionals who want an introduction to modern cloud data stacks and workflows

WHAT ARE THE COURSE REQUIREMENTS?

• This is an entry-level course (no prerequisites)
• Some experience working with data is helpful, but not required