Cloud Basics for Data Professionals

Cloud Computing Fundamentals for Data Professionals

Discover the essentials of cloud computing in this comprehensive course designed for data analysts, data scientists, and business leaders. Learn how the cloud ecosystem, now storing over half of all corporate data, impacts your work. Demystify the technology powering modern data workflows and gain a practical understanding of its core concepts.

This course provides a high-level introduction to cloud computing, explaining what cloud computing is and why businesses are increasingly reliant on it. We'll compare cloud computing to traditional on-premise computing, exploring how various data professionals interact with cloud technology.

What You'll Learn:

• Cloud Computing Basics: Understand the fundamental principles of cloud computing, its benefits, and its role in modern data management.
• Cloud Architecture: Explore the core components of cloud architecture and cloud infrastructure, including different types of cloud services.
• Cloud Services & Infrastructure: Compare and contrast various cloud services and cloud infrastructure options to find the best fit for your needs.
• Cloud Security: Learn about crucial cloud security considerations and best practices to protect your data.
• Cloud Virtualization: Gain insights into cloud virtualization and its impact on resource utilization and scalability.
• Cloud Cost Control: Master strategies for effective cloud cost control and optimization.
• The Cloud Landscape: Review the major players in the cloud computing industry, including AWS, Microsoft Azure, and Google Cloud Platform (GCP).
• Public vs. Private Cloud: Understand the differences between public cloud and private cloud deployment models.
• Cloud Data Platforms: Explore cloud data platforms and software products for data storage, processing, and analysis.
• Vendor Lock-in Mitigation: Learn how to avoid vendor lock-in and maintain flexibility in your cloud strategy.
• Real-World Use Cases: See cloud computing in action through demos and case studies, including workflows built on AWS, Azure, GCP, and Snowflake.

Course Outline:

• Cloud 101: Introduction to cloud computing, its applications, and how different data roles utilize it.
• Cloud Architecture: Deep dive into cloud computing architecture, cloud infrastructure, and various cloud services.
• The Cloud Landscape: Comparison of leading cloud providers for data analytics.
• Cloud Data Stacks: Practical demonstrations of data analytics pipelines using combinations of cloud products and services (e.g., AWS, MySQL Workbench, GCP, Looker, Azure, Snowflake).

Bonus Content:

• 2 hours of high-quality video instruction
• 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

This course is perfect for data analysts, data scientists, and business leaders seeking to understand and leverage the power of cloud computing.

Ready to start your cloud computing journey? Enroll today!

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