Explore the AFIT/LS curriculum for Data Science/Analytics

Data Analytics takes Business Knowledge, IT Knowledge, and Analytic Knowledge all working together to gain insight and drive innovation.

• Data Science: Multidisciplinary field utilizing statistical, computational, and machine learning methods to extract knowledge or insights from data as well as developing and implementing decision-quality predictive models through an iterative process.
  
• Data Analytics: Subfield of Data Science focused on data cleaning, visualization, and exploratory analysis to facilitate extraction of knowledge and insights.
• Business Knowledge: Understanding business needs; Ability to help business managers set and balance priorities by analyzing consequences of choices and creating business cases.
  
• IT Knowledge: Ability to understand the business intelligence infrastructure implications of business and analytic requirements; Deep understanding of how to access and manage data required to support business and analysis requirements.
• Analytics Knowledge: Fluency with key analytic applications; Researching business problems and creating models that help analyze these problems.

Find Foundational through Advanced levels of Professional Continuing Education, including workshops, for the:

• Citizen Data Analyst (Non-Technical Action Officers)
• Professional Data Analyst (Technical Action Officers)
• Data Scientist (Data Professionals)
• Data Architect/Engineer (IT Professionals)

Contact the Data Analytics team for more information: AFIT.LS.DataTeam@us.af.mil 
Need customized education for your organization? Our Consulting experts can help.

 = Course in Development

NOTE: Although the foundational, basic, intermediate, and advanced levels are progressive in expected knowledge, it is not necessary to proceed through all of them. There are no prerequisites for these courses, but students should be sure they have sufficient background knowledge in order to successfully complete higher-level courses. For example, a beginner Professional Data Analyst may choose to take the two foundational Python classes (WKDSS 101 and 102) and then proceed to WKDRS 310 Advanced Statistical Methods and Programming of Data Research if they already have a background in R and RStudio.

Citizen Data Analyst (Non-Technical Action Officers)

Professional Data Analyst (Technical Action Officers)

Data Scientist (Data Professionals)

Data Architect (IT Professionals)

Strategic/Executive Level Offerings

STRATEGIC	DAS 460 Enhancing a Data Analytics Culture What is Data Analytics Statistics Refresher Industry Case Analysis Data Analytics Framework
COURSES IN DEVELOPMENT	Executive (GO/SES) Course Asking the right questions Strategic Alignment and Deployment Developing Data Culture Enabling Data Driven Change
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• Need customized education for your organization? Our Consulting experts can help.
• Have questions? Contact us at: AFIT.LS.EducationSupport@us.af.mil