DAT-260 has students explore contemporary systems and technologies impacting the field of data analytics, including the cloud, AI, and machine learning. Students gain exposure to areas of technology providing opportunities for future professional specialization, such as emerging Big Data technologies that can support the work of data analysts, and cover how the internet of things and artificial intelligence can support and be used in an organizational environment. The course requires DAD-220 as a prerequisite.
Staying current with a rapidly evolving field
The course explicitly focuses on contemporary, emerging technologies rather than settled, established tools, ensuring data analytics students engage with the field's genuine current trajectory rather than only historical or currently-standard techniques.
Exposure to future specialization opportunities
DAT-260 deliberately exposes students to emerging technology areas as potential future professional specializations, helping students identify which cutting-edge direction within data analytics might genuinely interest them.
Key topics in DAT260
- Cloud technologies in data analytics
- AI and machine learning applications
- Internet of Things (IoT) in organizations
- Emerging Big Data technologies
- Future specialization opportunities in data analytics
- Organizational applications of emerging technology
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Worked example: IoT expanding data analytics' scope
- Traditional data sources: Structured data from databases and transaction systems
- IoT-driven data sources: Continuous sensor data from connected devices, requiring genuinely new analytical approaches
- Lesson: DAT-260 teaches that emerging technologies like IoT are expanding what data analytics actually has to work with, requiring analysts to stay current with these evolving data sources
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Frequently asked questions
Data analytics as a field is genuinely being reshaped by newer technologies — cloud computing, AI and machine learning, IoT-generated data — and a data analytics education that only covers currently-standard tools risks leaving graduates unprepared for how the field will continue evolving throughout their careers. DAT-260 covers emerging technology deliberately because staying current with genuine technological change is a core professional expectation in data analytics, not an optional supplementary topic.
Understanding how new technologies like cloud computing, AI, and IoT actually change and expand data analytics work requires first having a solid foundation in structured database environments (from DAD-220), since emerging technologies are typically understood as extensions of or alternatives to these foundational data management concepts. DAT-260 requires this prerequisite because appreciating what's genuinely new about emerging technologies depends on understanding the traditional foundation they're building on or diverging from.