Potential topics, activities, and research projects may include but are not limited to:

• Organizing and leading an analysis project, including defining business objectives, scope, and metrics, aligning stakeholders, securing data, and other resources.
• Writing and winning approval for a project charter.
• Applying the basic techniques of data extraction, transformation, and preparation, as applied to large data sets in the context of a live business problem.
• Choosing and using analytical and visualization techniques and appropriate software in the solution of a live business problem.
• Communicating clearly using visualization tools to a business audience the business problem addressed through the data analytics technique, the results that it produces, and the implications of these results for your organization's different functions, including any ethical implications.
• Situating your project within a larger business context, data strategy, and governance process for the organization.
• Recommending plans and implementation that will benefit the organization.
• Articulating a business problem or challenge and translating it to an analytical framework.
• Managing and utilizing big data: sources, methods, challenges, and opportunities. Implement popular techniques (using appropriate software) to analyze structured and unstructured data and draw useful business inferences.
• Understanding the capabilities and limitations of analytical techniques and select the most appropriate technique for the business problem at hand.
• Applying analytical techniques to a live business situation and craft practical recommendations.
• Presenting analytical results that are clear, useful, visual, and appropriately framed for the problem.
• Understanding and communicating the business implications of their analysis to interested stakeholders and decision-makers.