Big data is a change agent that challenges the ways in which organizational leaders have traditionally made decisions.  This course provides participants with the confidence to articulate big data architectures to support analytics-driven solutions within their organizations.  The course also provides hands-on experience with key big data technologies used to deploy data-intensive applications. Participants will gain the knowledge and skills they need to assemble and manage a large-scale big data analytics project. Lastly, participants will receive a conceptual introduction to the data structures that support machine learning algorithms and artificial intelligence use 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 opportunity to apply the test methods and practical approaches that they learn throughout the course.  At the end of the course, participants will produce an actionable big data plan and architectural diagram to be used as a blueprint proposal within their own organizations.

Course Methodology

This course will be highly interactive with group discussions, case studies, hands-on practical exercises, and group activities is the core focus.

Course Objectives

By the end of the course, participants will be able to:

Target Audience

This course is ideal for data professionals, such as database administrators, system administrators, business analysts or business intelligence specialists.  It is also ideal for less technically-inclined management and administrative professionals seeking to understand big data strategies and technologies.  Recommended pre-knowledge includes experience analyzing data in Excel, knowledge of basic database technologies, and awareness of analytics-driven business initiatives.

Target Competencies

The post Big Data and Data Analytics appeared first on Accredited Africa Training Institute for Capacity Development.