Using big data can lead to significant gains for your organization. Managing big data effectively can lead to lower operating costs, better decision making, and innovative new product development. Dealing with big data means utilizing big data technologies to identify, gather, and analyze data sets and develop big data strategies that reap benefits for your organization. In this course, you'll learn about the data analysis process. You'll be introduced to the most common basic and advanced analytics methods, including data mining. You'll also learn about some of the most common big data tools and their associated uses, and some challenges to keep in mind when undertaking big data analysis activities in your organization.
Learning Objectives
Interpreting Big Data
- sequence the five steps of the data analysis process
- identify the four data analysis categories
- recognize basic data analysis methods
- recognize advanced data analysis methods
- recognize some of the most common big data tools used for data storage, management, cleaning, and mining activities
- recognize some of the most common big data tools used for data analysis, visualization, integration, and collection activities
- identify the challenges associated with big data analysis
Framework Connections
The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
Specialty Areas
- All-Source Analysis
- Knowledge Management
- Strategic Planning and Policy
- Technology R&D
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.