• Classroom
  • Online, Instructor-Led
Course Description

This course introduces students to the data analysis process. They begin with modeling and spreadsheet usage and progress to control the entire analytic process by deciphering large amounts of data and effectively communicating the information they derive. This course provides attendees with the core skills necessary to handle any data intensive analytic project and clarity, insight and confidence in order to make sound and measurable business decisions. This course will also bridge the gap between team members that can often cause a project to be unsuccessful.

Learning Objectives

To develop one's ability and confidence in effectively communicating analytical, quantitative, and statistical concepts. To improve analytical thinking and develop effective problem solving strategies and validation techniques for different problem situations. To familiarize students with useful, efficient, and proper methodologies for summarizing and communicating quantitative and qualitative data in Excel. To build statistical models replicating the real life situation as closely as possible and to formulate appropriate hypothesis given the context. To help students acquire effective modeling skills in designing and implementing readable and reliable spreadsheet models. To teach students how to interpret the results of statistical tests and decision models, and to use them in making decisions.

Framework Connections

The materials within this course focus on the Knowledge Skills and Abilities (KSAs) identified within the Specialty Areas listed below. Click to view Specialty Area details within the interactive National Cybersecurity Workforce Framework.

Feedback

If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.