Utilizing big data can lead to significant gains for your organization such as lowered operating costs, better decision-making, and innovate new product development. But you have to know how to effectively identify, gather, analyze and use your data to reap the benefits. In this course you'll learn about the data analysis process. This course also introduces you to the most common basic and advanced analytics methods, including data mining. This course also covers 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.
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
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.