Cloud Basics for Data Professionals

Learn basic cloud technology for data science & analytics, and get to know key players like AWS, GCP, Azure & Snowflake

Created by: Maven Analytics
Empowering everyday people with life-changing data skills

Created by: Chris Bruehl
Lead Python Instructor at Maven Analytics

What Will I Learn?

• Learn why so many companies are leveraging cloud technology for data science & analytics
• Understand the basic use cases of cloud computing for different data roles (analysts, data scientists & data engineers)
• Compare the different types of cloud services (IaaS, PaaS, and SaaS) and cloud infrastructure (private, public & hybrid)
• Explore the similarities and differences between major players in the cloud landscape, including Amazon Web Services, Microsoft Azure & Google Cloud
• Demo real-world data analytics workflows using Azure, GCP, AWS and Snowflake

Requirements

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

Target audience

• Everyday people looking to build a basic understanding of cloud technology for data analytics
• Leaders looking to learn more about the cloud landscape and ecosystem
• Data professionals who want an introduction to modern cloud data stacks and workflows
• Anyone looking to get familiar with major cloud players like AWS, Azure, GCP and Snowflake