This one-day course provides foundational spreadsheeting knowledge and skills to enhance workplace productivity. The course covers basic navigation of Microsoft Excel by combining live demonstrations and hands-on exercises.
Work with multiple worksheets within a workbook
Hide, unhide, and protect worksheets
Adjust rows and columns
Use copy and paste options
Find, select, and sort data
This course addresses key objectives focused on training intelligence analysts working at or towards the intermediate-level (practitioner and/or experienced analyst). This course expands upon core analytic fundamentals covered in NW3C's FIAT, ISIA, and IWAB offerings. The course begins with an in-depth case study to illustrate the complexities and challenges of a major case scenario for intelligence analysts. The course then examines key concepts related to analytic thinking, cognitive biases, structured analytic techniques, and effective time and project management. Finally, the course concludes with a section on addressing analytic uncertainty in intelligence writing. With guidance from experienced experts, students gain hands-on experience in the course with a complex practical case scenario that will challenge students on both days of the course.
Key concepts covered in this course include:
*Identifying cognitive biases
*Structured analytic techniques
*Project and time management
*Conveying uncertainty in intelligence writing
This course provides students with the fundamental knowledge and skills they need to investigate crimes involving virtual currency. Instructors explain foundational concepts like the characteristics of money, virtual currency, and cryptocurrency. Blockchain technology, proof work, and proof of stake are covered; and students learn how industry-leading cryptocurrencies (Bitcoin, Ethereum, and Monero) work and how they differ from each other. Finally, students learn investigative techniques for tracking and documenting transactions; and best practices for seizing and securing cryptocurrency.
*Virtual currency basics. History of money and of virtual currency. Categorizing virtual currency.
*Blockchain. History of the blockchain. Understanding different protocols.
*Cryptocurrencies in detail. Bitcoin, Ethereum, Monero and other privacy coins.
*Investigative techniques. Seizing virtual currency; tracking transactions through the blockchain; documenting investigative results.
This course builds on the concepts introduced in FC101 (FIPS) and FC105 (FREA), introducing investigators and prosecutors to emerging issues in financial crime. Topics include money laundering, analyzing large financial data sets, conducting effective interviews, and managing large amounts of financial evidence. This course consists of a mix of lecture, discussion, and hands-on exercises. Students conduct a mock investigation that includes interviews, data analysis, and the examination of various documents.
*Money laundering. Methods of laundering money. Tracing illegal funds. Emerging issues. FinCEN.
*Spreadsheeting skills. Spreadsheet architecture. Formulas and calculations. Pivot tables.
*Working with financial data. Benfords law analysis. Disentangling commingled funds.
*Hands-on experience. Work a mock financial case as part of an investigative team.
This course promotes a multi-agency approach to the problem of financial exploitation of senior citizens. Topics include working with senior victims, examining documents like bank records and power of attorney, and resources for investigation and community awareness. Detailed examination of a case study from initial complaint to prosecution reinforces and illustrates the course content. With a dual focus on financial abuse by trusted persons and common scams aimed at seniors, the course introduces senior-specific investigative skills while facilitating networking and cooperation that can extend out of the classroom and into real cases.
This course provides the fundamental knowledge and skills required to acquire forensic backup images of commonly encountered forms of digital evidence (Microsoft Windows based computers and external storage devices) in a forensically sound manner. Presentations and hands-on practical exercises cover topics on storage media and how data is stored, the forensic acquisition process, tool validation, hardware and software write blockers, forensic backup image formats, and multiple forensic acquisition methods. Students will use third party tools, both free and commercial, that are currently used by practitioners in the field.
This one-day course provides foundational spreadsheeting knowledge and skills to enhance workplace productivity. The course covers basic navigation of Microsoft Excel by combining live demonstrations and hands-on exercises.
Work with multiple worksheets within a workbook
Hide, unhide, and protect worksheets
Adjust rows and columns
Use copy and paste options
Find, select, and sort data
This three-day course is dedicated to studying the fundamentals of quantitative and qualitative data analysis and how to formulate arguments in support of criminal investigations and intelligence. Students will learn about data management techniques and a disciplined process to clean and standardize data in preparation for analysis. The course will also explore several common investigative objectives, including the discovery of associations between people and entities, the correlation between unlawful activity and suspects, behavioral affinities, and predictions. The course will introduce the Enterprise Theory of Crime and how to use network analysis to formulate conclusions about the structure of criminal organizations, their players and roles, the identification of facilitators, charting of financial arrangements, and connections to unlawful activity. The course enables the production of valuable, accurate, and efficient logical inferences produced by collecting data related to unlawful activity.
This is the replacement class for Securecube.
This course will familiarize Non-Technical Investigators related to the fundamentals of handling digital evidence which may present in the course of their investigations. The course will address the digital evidence source landscape, collection and preservation, examination and authentication, and considerations for managing third party sources. The student will receive a broad and balanced understanding of how digital evidence can enhance their investigations and the fundamentals of handling such evidence.
Presented by:
Jim Emerson, Vice President, High Tech Crimes, NW3C
This course introduces analysts to the broader concepts of connecting the dots through link analysis. A critical portion of conducting a successful analytical investigation is the ability to link together and understand the complexities of the connectedness between people and organizations. Introduction to Link Analysis (ILA) expands on the basic principles of link and association analyses explored in the Foundations of Intelligence Analysis Training (FIAT) while building a framework for more advanced methods such as social network analysis.
Expanding basic knowledge of link and association analysis
Explaining the process of social network analysis
Understanding the visual mapping and mathematical components associated with link and social network analyses