Cloud Basics for Data Professionals (Udemy.com)
Learn basic cloud technology for data science & analytics, and get to know key players like AWS, GCP, Azure & Snowflake
Created by: Maven Analytics
Last updated June 2026
What you will 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
Course Description
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.
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.
COURSE OUTLINE:
Cloud 101
Introduce the basics of cloud computing, including what it is, why companies use it, and the way different data roles interact with it
Cloud Architecture
Understand the core components of cloud computing and cloud infrastructure, as well as the types of cloud services and architecture
The Cloud Landscape
Review some of the major players in the cloud computing industry for data analytics, and compare their similarities and differences
Cloud Data Stacks
Demo simple data analytics pipelines using combinations of cloud products and services (or “stacks”), including AWS, MySQL Workbench, GCP, Looker, Azure, Snowflake, and more
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Ready to dive in? Join today and get immediate, LIFETIME access to the following:
2 hours of high-quality video
4 real-world cloud demos & case studies
3 course quizzes
Cloud Basics for Data Professionals ebook (50+ pages)
Expert support and Q&A forum
30-day Udemy satisfaction guarantee
Whether you’re an analyst or data scientist interested in cloud computing or a business leader looking to learn about the cloud landscape, this course is for you.
Happy learning!
-Chris Bruehl (Data Science Expert & Lead Python Instructor, Maven Analytics)
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Instructor Details
- 4.6 Rating
809 Reviews
Maven Analytics
Maven Analytics is an award-winning platform where individuals and teams build new skills, showcase work, and connect with experts around the world.
We've helped more than 2,000,000 learners around the world build job-ready data & AI skills, master tools like Excel, SQL, Power BI, Tableau and Python, and build the foundation for successful careers.
Start learning for free!
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Reviews
By Svetlana Stepanovic on 4/23/2026
I really enjoyed this course. It gave me a clear beginner-level understanding of cloud concepts, which was exactly what I needed. The course was very informative and well structured.
By Anonymized User on 3/9/2026
Good breaking down of concepts, like the course framing - answers most common questions in simple language
By Ricardo Llancaqueo Rojas on 9/12/2025
I took it as an introductory course to learn about cloud solutions for data professionals, and I was very satisfied, even more.
By Vishal Mall on 7/3/2025
Basic was good but his examples totally takes us towards the AI and data Science, provide some common example
By Anonymized User on 3/10/2025
Really good to understand the basics but too light use cases of GCP, Azure and AWS.
By Malia Senitela Fahiua on 1/27/2025
Yes, The instructor's clear and concise explanations made complex concepts easy to understand.
By Lynn C. Worthy on 10/23/2024
Because it is a through overview of cloud computing and the benefits and disadvantages.
By Shreya Sri A N on 10/10/2024
A good starting point to understand cloud. Though it doesn't cover things in detail, it introduces the concept very well
By Samir Tilak on 8/10/2024
great insights Storage-compute-database-datawarehouse-datalake-ML-Visualization AWS-AZURE-GC S3-Azure-BLOB-CloudStorage- EC2, ComputeEngine RDS-Azure SQL DB - CLOUD SQL SNOWFLAKE-DATABRICKS POWERBI-LOOKER
By Robert L. Pulliam III on 7/15/2024
Great course. The instructor was knowledgeable, credible and very good at presenting the course. I enjoyed it and will take some of his information with me.
Quality Score
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Overall Score : 92 / 100












