This course will provide participants with the knowledge to articulate big data architectures to support analytics driven solutions within their organizations. This course provides hands on experience with key big data technologies used to solve data intensive challenges.

Participants will gain the knowledge and skills they need to assemble and manage a large-scale big data analytics project. In this course, participants will receive a conceptual introduction to data structures that support machine learning algorithms and artificial intelligence cases.

Participants will work to identify areas within their organization that can be improved through big data-driven implementations, and the types of improvements that can be made through analytical processes. Participants will be led through a series of hands-on exercises and workshops, where they will have the chance to apply the test methods and practical approaches that they are learning throughout the course.

Target Audience

This course is ideal for data analysts, data engineers, data scientists, as well as technically inclined management and administrative professionals seeking to understand big data strategies, technologies and use cases.

**Recommended, pre knowledge on basic programming experience, analyzing data in python, knowledge of basic database technologies, and awareness of analytics driven business initiatives.