Crime Analysis Course

Lesson 1 • Defining Crime Analysis

Establishes what crime analysis is, its purpose, and its place in law enforcement. Grounds all subsequent technical skills in professional context.

Lesson 2 • The Crime Analysis Process

Introduces the systematic workflow from data collection to dissemination. Provides a repeatable model students apply throughout the course.

Lesson 3 • Types of Crime Analysis

Distinguishes tactical, strategic, administrative, and intelligence analysis. Clarifies which methods apply to which operational questions.

Lesson 4 • Organisational Role of the Analyst

Examines how analysts fit within command structures and support decision-makers. Prepares students to communicate findings to diverse audiences.

Lesson 1 • Secondary and Open-Source Data

Introduces census data, business registries, social media, and open government datasets. Expands the analytical picture beyond internal records.

Lesson 2 • Data Governance and Documentation

Establishes protocols for data storage, access control, and audit trails. Ensures reproducibility and accountability in analytical workflows.

Lesson 3 • Primary Data Sources

Surveys incident reports, arrest records, calls for service, and field contacts. Identifies strengths and limitations of each source type.

Lesson 4 • Data Quality Assessment

Teaches methods to detect missing values, duplicates, and coding errors. Ensures analysts can validate data before drawing conclusions.

Lesson 1 • Descriptive Statistics Essentials

Covers measures of central tendency, dispersion, and frequency distributions. Provides the numerical vocabulary for summarising crime data.

Lesson 2 • Presenting Statistical Findings

Covers chart selection, table design, and plain-language interpretation. Bridges the gap between statistical output and operational decision-making.

Lesson 3 • Trend Analysis and Time Series

Introduces moving averages, seasonality, and year-over-year comparisons. Equips analysts to detect meaningful change versus random fluctuation.

Lesson 4 • Crime Rate Calculations

Teaches population-adjusted rate formulas and index construction. Enables fair comparisons across jurisdictions and time periods.

Lesson 1 • Introduction to Crime Mapping

Covers GIS fundamentals, coordinate systems, and map types used in policing. Establishes spatial literacy as a core analytical competency.

Lesson 2 • Geocoding Crime Data

Teaches address matching, batch geocoding, and quality control of spatial records. Converts tabular incident data into mappable geographic features.

Lesson 3 • Communicating Spatial Findings

Addresses map design principles, legend clarity, and audience-appropriate presentation. Ensures maps are operationally useful and not misleading.

Lesson 4 • Spatial Pattern Analysis

Covers journey-to-crime, buffer analysis, and spatial autocorrelation. Reveals relationships between crime locations and environmental features.

Lesson 1 • Repeat Victimisation Analysis

Examines near-repeat patterns, chronic victim identification, and prevention targeting. Focuses resources on the highest-risk people and places.

Lesson 2 • Identifying Crime Series

Teaches modus operandi comparison, linkage criteria, and series confirmation methods. Enables analysts to connect related offences across time and space.

Lesson 3 • Crime Pattern Theory

Explains routine activity theory, crime attractors, and generators as analytical frameworks. Provides theoretical grounding for pattern recognition work.

Lesson 4 • Producing Pattern Bulletins

Guides creation of concise, actionable pattern bulletins for field personnel. Translates analytical findings into operational intelligence products.

Lesson 1 • Prolific Offender Identification

Uses recidivism data, offence frequency, and risk scoring to identify high-impact offenders. Supports prioritisation of investigative and intervention resources.

Lesson 2 • Social Network Analysis for Crime

Applies network metrics such as centrality, density, and brokerage to criminal networks. Identifies influential nodes and structural vulnerabilities.

Lesson 3 • Criminal Association Analysis

Covers co-arrest data, known associate records, and association matrix construction. Maps relationships among individuals involved in criminal activity.

Lesson 4 • Offender Profiling Fundamentals

Introduces behavioural profiling concepts, limitations, and ethical boundaries. Distinguishes evidence-based profiling from unsupported speculation.

Lesson 1 • Analytical Products and Formats

Surveys strategic assessments, tactical bulletins, threat assessments, and briefing notes. Matches product type to audience and decision-making need.

Lesson 2 • Threat and Risk Assessment

Introduces structured threat assessment methodologies and risk scoring frameworks. Supports proactive resource allocation before incidents occur.

Lesson 3 • Intelligence-Led Policing Framework

Explains the intelligence cycle, the 3-i model, and the analyst's role within it. Connects crime analysis to agency-wide intelligence strategy.

Lesson 4 • Evaluating Analytical Impact

Teaches performance metrics, feedback collection, and product quality review. Closes the intelligence cycle and drives continuous improvement.

Lesson 1 • Project Planning and Scoping

Covers analytical question framing, data needs assessment, and timeline planning. Establishes disciplined project management habits for complex assignments.

Lesson 2 • Professional Report Writing

Covers structure, plain language, executive summaries, and visual integration in reports. Produces documents that command personnel can act on immediately.

Lesson 3 • Developing Recommendations

Translates analytical findings into specific, actionable operational recommendations. Bridges the gap between analysis and command decision-making.

Lesson 4 • Presenting Findings to Stakeholders

Prepares students to brief command staff, investigators, and community partners. Develops confidence in defending analytical conclusions under questioning.