Analytics is a hot topic, but also a complex topic. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity – unstructured data, big data, social data, data streams, and more. Advanced analytics continues to expand with complex event processing, machine learning, cognitive computing, etc.
In the growing and evolving world of analytics we’re also experiencing a shift of roles and responsibilities. The “data things” that were once seen as IT responsibilities have become critical business skills. Analytics spans a continuum that encompasses IT departments, data scientists, data analysts, business analysts, business managers, and business leadership. It seems that everyone has a stake in analytics. Coordination, cross-functional analysis, data sharing, and governance all become important skills.
There are no prerequisites for this course.
Business leaders and managers seeking to understand business dynamics through analytics
IT leaders and managers responsible to deliver and to support analytics initiatives
BI and analytics architects guiding the design, development, and deployment of analytics
BI and analytics designers and developers
Business analysts, data analysts, data scientists and those who aspire to these roles
The concepts and practices of analytic modeling
An analytics topology to make sense of the variety of analytic types and techniques
The data side of analytics including data sourcing, data discovery, data cleansing, and data preparation
Analytic techniques for exploration, experimentation, and discovery
The human side of analytics: communication, conversation, and collaboration
The organizational side of analytics: self-service, central services, governance, etc.
A bit about emerging techniques and technologies shaping the future of analytics