Coding for Analysis ▸
Syracuse University micro-credential*
Intro to Data Decision-Making Using AI ▸
Syracuse University micro-credential*
Applied AI ▸
Syracuse University micro-credential*
Project Management ▸
Syracuse University micro-credential*
*A focused credential that demonstrates mastery in a specific skill.
Instructor
David Robinson
drobinson@golisanoinstitute.org
Data Systems
Learn to harness cloud computing for seamless data integration and automation. This is the second course in a 3-course sequence and builds upon the data structure knowledge gained in Data Systems I. Data Systems II focuses on building data pipelines and API endpoints, enabling efficient information flow and connectivity across systems. Students will gain hands-on experience integrating cloud-based tools, creating data pipelines, and using APIs to connect data between systems.
Core Topics
- Introduction to Cloud Computing and Data Integration
- Building Data Pipelines in Cloud Environments
- Cloud-Based Automation for Data Management
- Data Processing with Cloud Resources
- API Endpoints for System Connectivity
Learning Outcomes and Career Relevance
- Students will be able to select, build, and maintain data pipelines for efficient information transfer given the business requirements and types of data used.
- Students will be able to develop and utilize API endpoints for data integration across various systems.
- Students will be able to use cloud computing environments for data processing and management.