Online Cloud Analytics
CIS 394 - Cloud Analytics
Overview
Cloud Analytics is a specialized course designed for students aiming to deepen their understanding of cloud-based data analytics and its application in the modern data-driven business environment. Through a series of meticulously structured modules, this course offers a deep dive into the practices, tools, and methodologies required to harness the power of cloud computing. With a strong grounding in data-driven decision-making, the course progresses to a technical examination of cloud data pipeline infrastructure. This course also explores machine learning on the cloud and the course introduces students to the world of business intelligence and analytics within the cloud.
Course prerequisites and requirements
To be successful in this course, we recommend English language fluency and computer literacy. We also encourage you to make sure your laptop or desktop computer meets the technical requirements.
Quick facts
- Credits: 3
- Length: On-demand
- Cost: $25 + $400
What you’ll learn
- Learn how to leverage data for strategic decision making within organizations
- Gain proficiency in the design and implementation of data pipelines using AWS services
- Understand the infrastructure required for data ingestion, storage, processing, and analysis
- Learn to select appropriate AWS tools for various analytics use cases
- Get hands-on experience in analyzing and visualizing data with services like AWS IoT Analytics, QuickSight, and Kinesis
What to expect in class
Exams and grading
40%
Labs
25%
Knowledge Checks
35%
Final Exam
Transcript
This course appears on your transcript identically to how it appears on the transcript of an enrolled ASU student who has taken the course on one of ASU’s campuses. Course attendance dates will be listed on your transcript. An on-demand course will appear on your transcript in the session you complete the course.
This course satisfies 3 credit hours at Arizona State University. It is strongly encouraged that you consult with your institution of choice to determine how these credits will be applied to their degree requirements prior to transferring your credit.