The Air Force Institute of Technology School of Systems andLogistics (AFIT/LS) offers several workshops in data analytics, data science and data engineering designed for the general Department of Air Force workforce. Many do not have any pre-requisites and offer students an introduction to a variety of topics. Workshops are offered through a variety of means, from in-person classroom instruction, virtually taught over Microsoft Teams, and asynchronously taught using the Canvas Online Learning System and through learning paths on the Avolve video sharing platform (https://e.AFIT.edu/YDXVV1b). In FY24, AFIT/LS taught nearly 20,000 students at locations around the world.

AFIT/LS offers several tracks with progressive levels of difficulty to tailor instruction to the students’ needs. A very popular workshop is DAS 201 Fundamental of Data Analytics which is taught online through Microsoft Teams and in-person per request. Using Microsoft Excel and case studies, students describe, diagnose and predict data challenges, manipulate large datasets, pivot tables, visualizations and data manipulation.

The data engineering track (https://e.AFIT.edu/Bhh4xx9) introduces the student to the fundamental elements of data architecture, relational databases, database management and big data concepts.

Two short asynchronous courses are also available that introduce students to the R statistical language, with future workshops in design that will teach statistical concepts and applications using R.

A two-course Introduction to Python takes students through the fundamentals of Jupyter Notebook, and popular data packages such as Numpy and Pandas. Students can also take the three-course Data Science with Python sequence, taught live over Microsoft Teams. The first course in the sequence covers the fundamentals, where students learn to design a data science project with stakeholders, clean data, build machine learning models, and learn how to build easily understood visualizations for decision makers. The second course covers machine learning concepts including unsupervised learning and neural networks. Finally, the third course covers applications of data science including recommender systems, reinforcement learning, natural language processing, transformers, and ethical AI.

AFIT/LS courses are ideal for those looking to quickly get up to speed on the fundamental concepts of data science and can be an excellent stepping-stone toward graduate learning. These workshops are designed to be 2-5 days in length, providing DAF professionals tools they can rely on for their own operational uses.

EXPLORE THE AFIT/LS WEBSITE & COURSE CATALOG

VISIT ONLINE: https://www.AFIT.edu/LS

VIEW THE COURSE CATALOG: https://e.AFIT.edu/zzGs6pp