This course is part of the Data Analytics certificate program. Students in the program are adult learners with a post-secondary degree/diploma in computer science, engineering, business, etc.

Students will explore the principles and practices of cloud computing with this introductory course, and discover the importance of cloud computing for today’s business and IT sectors through an examination of the development of cloud technologies over time. 

Common practices for delivery, deployment, architecture and security will be presented.

Students will explore various cloud computing platforms to understand and assess 

current service options and to discuss future developments for cloud computing

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The project provides an opportunity for businesses and learners to collaborate to identify and translate a real business problem into an analytics problem. 

The projects, which can be short, will allow the student to apply the skills acquired on to address the business problem.  Some examples are:

• Determine the characteristics of the collection system and select a collection system that handles the large data set
• Identify the right storage solution for analytics
• Design and implement a solution for transforming and preparing data for analysis
• Select the right data analysis and data visualization solution for a given scenario
• Apply the right authentication and authorization mechanisms
• Apply data protection and encryption techniques
• Manage and monitor data solutions

You should submit a high-level proposal/business problem statement including relevant data sets and definitions, a list of acceptable tools (if applicable), and expected deliverables. Business datasets could be provided based on a non-disclosure agreement or in an anonymized/synthetic data format that is relevant to your organization and business problem. The course instructors will review the documents to confirm the scope and timing of the proposed problem and its alignment with the course requirements.

• A report on students’ findings and details of the problem presented
• Future collaboration ideas will be identified based on current project outcomes