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Explore the AFIT/LS curriculum for Data Science/Analytics

 WKDAS 475 Data Literacy and AI for Senior Leaders




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

Data Analytics takes Business Knowledge, IT Knowledge, and Analytic Knowledge all working together.

  • 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:

AFIT/LS also develops Strategic/Executive/Leadership level offerings. 

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.

This course is under development. = 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)

FOUNDATIONS
  • WKDAS 101 Introduction to Data Analytics (Non-Technical)
  • WKDAS 102  Foundation of Data Manipulation with Microsoft Excel
  • WKDAS 103  Cleaning Data with Microsoft Excel
  • WKDAS 104  Manipulating Data in Microsoft Excel
  • WKDAS 105  Foundation of Data Visualization with Microsoft Excel
  • Business knowledge, Analytic knowledge and IT knowledge overlap in the world of data analytics. DAS 109 Introduction to Structured Query Language (SQL)
  • WKDAS 175 MS Power BI Fundamentals
BASIC
  • DAS 201 Fundamentals of Data Analytics
INTERMEDIATE
  • WKDAS 275 Microsoft Power BI Proficiency
  • WKDAS 301 Concepts of Data Analytics Tools & Techniques
  • WKDAS 672 Data Analytics Tools & Techniques
ADVANCED
  • This course is under development. WKDAS 401 Advanced Topics in Data Analytics
Example Learning Path:  DAS101, DAS201, WKDAS175, WKDAS275, WKDAS301
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Professional Data Analyst (Technical Action Officers)

FOUNDATIONS
  • WKDRS 110 Introduction to Data Research
  • WKDES 130 Fundamentals of Data Architecture
  • WKDRS 101 Introduction to R and RStudio
  • WKDRS 102 Data Analytics Essentials in R/RStudio
  • WKDSS 105 Foundations of Python Programming & Intro to Generative AI
BASIC
  • WKDRS 210 Fundamentals of Data Analysis in R
INTERMEDIATE
  • WKDRS 310 Advanced Statistical Methods and Programming of Data Research
ADVANCED
Example Learning Path:  WKDRS101, WKDRS102, WKDRS210, WKDRS310, WKDRS410
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Data Scientist (Data Professionals)

FOUNDATIONS
  • WKDRS 110 Introduction to Data Research
  • WKDES 130 Fundamentals of Data Architecture
  • WKDRS 101 Introduction to R and RStudio
  • WKDRS 102 Data Analytics Essentials in R/RStudio
  • WKDSS 105 Foundations of Python Programming & Intro to Generative AI
BASIC
  • WKDSS 220 Fundamentals of Data Science in Python
INTERMEDIATE
  • WKDSS 320 Intermediate Data Science with Python
ADVANCED
  • WKDSS 420 Advance Topics in Data Science with Python
Example Learning Path:  WKDSS105, WKDSS220, WKDSS320, WKDSS420
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Data Architect (IT Professionals)

FOUNDATIONS
  • WKDRS 110 Introduction to Data Research
  • WKDES 130 Fundamentals of Data Architecture
  • WKDRS 101 Introduction to R and RStudio
  • WKDRS 102 Data Analytics Essentials in R/RStudio
  • WKDSS 105 Foundations of Python Programming & Intro to Generative AI
BASIC
INTERMEDIATE
ADVANCED
Example Learning Path:  WKDES130, WKDES230, WKDES330, WKDRS430
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Strategic/Executive Level Offerings

STRATEGIC

 WKDAS 475 Data Literacy and AI for Senior Leaders


This course is under development. DAS 460 Enhancing a Data Analytics Culture

  • What is Data Analytics
  • Statistics Refresher
  • Industry Case Analysis
  • Data Analytics Framework

This course is under development. 
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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