NOTE: This course was formally called WKSP 0658 – Data Analytics for the Rest of Us.” This two-day instructor-led course is designed for Air Force personnel as a foundational hands-on course. Students will apply Data Analytics techniques to solve case-based problems in a laboratory environment. Students will gain a basic understanding of conducting statistical analysis using Microsoft Excel® and several representative case studies/exercises on using data analytics to describe, diagnose, and predict various operations management challenges. Students will learn how to manipulate a large data set, including d descriptive statistics, pivot tables, charting and visualization techniques, formulas, text manipulation, data tables, concatenation, and parsing. Graduates will obtain immediate tools they can use to increase their job performance and Data Analytics acumen.
This course provides the analytic tradecraft knowledge, skills, and abilities needed by intelligence analysts to fulfill the Office of the Director of National Intelligence ODNI education requirements and the Secretary SecAF/Chief of Staff CSAF of the Air Force Strategic Master Plan SMP objective ISR.6.
NOTE: This course was formally called WKSP 0669 – Data Analytics for Senior Leaders.” This one-day instructor-led course is designed for Air Force personnel as a leadership course. Students explore the taxonomy of data analytics capabilities and the organizational maturity levels associated with its deployment. This strategic capability is surveyed through a systems approach to examine the implementation of data analytics competencies for various levels of the organization. Holistic considerations will be evaluated for how an organization can fully integrate data analytics into their business strategy by addressing the inevitable obstacles of implementing a more data-focused approach, to include challenges when data analysis-based conclusions cut against the organization’s conventional wisdom. A framework for creating a more data driven culture and the elements necessary to effect change in an organization will be discussed. Finally, attendees close the workshop by reviewing a case study from industry leaders to uncover best practices and replication opportunities for their organizations.
Provides an introduction to the fundamental principles of data management and the importance of the data management function in an integrated product team (IPT). Topics covered include the following: Evaluating data requirements to achieve the goal of "minimum essential" being placed on contract. Ensuring the data being ordered are legally binding (authorized Data Item Descriptions) properly called out on the Contract Requirements List (DD Form 1423). Coordinating the data order through a data review process to achieve an accurate order tailored down to fit the program. Planning for and developing a Government Concept of Operations for an Integrated Digital Environment (IDE).
This workshop focuses on maturing a data analytics capability from predictive to prescriptive. The emphasis is on using systems dynamics to develop process models utilizing data analytics methodologies to identify and exploit system constraints, decrease waste, and reduce variation. Topics include relational databases, introduction to programming, optimization, and advanced data analytics techniques. Students should be comfortable working with Microsoft Excel and have some mathematical aptitude. A recommended prerequisite is AFIT Data Analytics for the Rest of Us, although not required.
Data Analytics is rapidly becoming one of the most sought after capabilities within the professional world. It has been said that Knowledge is Power and those who can manage and make sense of the 2.5 billion gigabytes of data we amass everyday can harness that power. Strategic data analytic capability has yielded phenomenal results throughout numerous industries to include the Federal Government and the DoD at large. Presidential Elections, Major League Baseball Teams, Major Online Retailers and even Defense Contractors… have all successfully used Data Analytics to gain a competitive advantage, cut operation and production costs, speed up delivery, generate precise forecasts and ultimately make better decisions. This workshop will explore various tools and techniques required to achieve the results garnered by leading edge, high-performing organizations. We also discuss intermediate statistical techniques and how to leverage them utilizing popular Data Analytics tools commonly found on our computers today: Microsoft Excel, Access, Structured Query Language SQL, Tableau, R and R-Studio. Graduates of this workshop will be prepared to apply what they’ve learned to take an active role in their organization’s data analytics, directly contributing to data-driven de decision making.
Take the next step in your Data Analytics journey, applying the tools you mastered in Data Analytics Tools and Techniques. This workshop will build on what you have already learned to solve a real world problem you may be facing in your organization today. In an immersive five day workshop, you will work in dynamic teams using industry tools and statistical methods to uncover keen insights about an assigned case while further adding to your Data Analytics toolkit. You will learn how to diagnose a problem using data analytics while producing a solution, predicting the outcome and finally visually communicating your solution with confidence. Tools used in this workshop are: Microsoft Excel, Access, Structured Query Language SQL, Tableau, R and R-Studio. Graduates of this workshop will be prepared to lead data analytics projects within their organizations, helping foster a more data-driven culture.