National CAE Designated Institution
  • Online, Instructor-Led
Course Description

This advanced course will equip the student with the necessary skills to solve complex problems and design solutions using Big Data.  The student will be able to gain an understanding of how to design databases to manage large volumes of data, and how that data can be analyzed and translated into meaningful results. The student will be introduced to the field of Analytics, gain an understanding of Enterprise Data Warehousing models, be introduced to Data Mining techniques and tools used for mining the data warehouse, and build specific Data Marts. The student will be introduced to predictive analysis, and will be expected to develop models to extract data, perform trend analysis, establish patterns, and make projections.

Learning Objectives

  • Describe and relate how selected data cleaning, integration, selection, transformation, mining, analysis and evaluation, and presentation issues impact the overall knowledge discovery process.
  • Analyze, design, implement and test automated procedures in order to input, clean, and transform data from one or more selected data sources into a relational database using SQL and other languages
  • Model, evaluate and visualize the data and results in order to discover patterns in a one or more selected data sources using WEKA and other tools and/or systems.

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.