Training Course in Crime Analysis Using CrimeStat

Training Course in Crime Analysis Using CrimeStat

CrimeStat is a free, Windows-based spatial statistics software designed for crime mapping and analysis, allowing law enforcement agencies and researchers to examine crime incident locations, identify patterns and hotspots, and analyze travel behavior.

Foundation
01

Course Overview

Course Summary
Course Title Training Course in Crime Analysis Using CrimeStat
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Center along Tala Road, Runda, Nairobi
Duration 5 Days
Target Industries
  • Non-profit organization management
  • Government administration
Target Job Roles
  • Law enforcement officers
  • Crime analysts
  • Criminal justice professionals
  • Policy makers
  • Researchers in criminology
Course Fees (Face-to-Face) USD 1100/KES 75,000 (Exclusive of VAT)
Course Fees (Virtual) USD 500/KES 55,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

CrimeStat is a free, Windows-based spatial statistics software designed for crime mapping and analysis, allowing law enforcement agencies and researchers to examine crime incident locations, identify patterns and hotspots, and analyze travel behavior.

 

The CrimeStat for Crime Analysis Training Course is a 5-day professional upskilling program ideal for crime analysts, law enforcement officers, criminal justice professionals, and researchers.

 

It equips participants with practical skills in spatial statistics and crime mapping using CrimeStat software.

 

The course also covers advanced statistical methods, interpretation of outputs, and strategies for reporting and communicating analysis results to support data-driven crime prevention.

 

 

Duration

 

5 days

 

 

What are the Key Skills from this Training Course?

 

  • Navigate the CrimeStat interface
  • Prepare and integrate crime datasets from multiple sources
  • Apply spatial and temporal analysis techniques to identify crime patterns, hotspots, and trends

 

 

Who Should Attend This Course?

 

This course is ideal for:

 

  • Law enforcement officers
  • Crime analysts
  • Criminal justice professionals
  • Policy makers
  • Researchers in criminology

 

 


Course Objectives

 

By the end of this training course, participants will be able to:

 

  • Understand the fundamentals of spatial statistics and CrimeStat software
  • Apply CrimeStat for analyzing crime data and identifying patterns
  • Integrate crime data from various sources for comprehensive analysis
  • Interpret and communicate results to support decision-making
  • Develop actionable strategies based on CrimeStat analysis

 

 

Training Approaches and Methodology

 

  • Interactive lectures
  • Live demonstrations
  • Hands-on exercises
  • Group discussions
  • Real-world case studies
  • Knowledge checks and quizzes
  • Collaborative group work

 

 

Course Requirements

 

  • Proficiency in English
  • Access to a computer (Windows)
  • Reliable internet access for software operation

 

 

02

Course Modules

Course Outline

 

Module I: Introduction to CrimeStat and Spatial Analysis

 

  • Overview of the CrimeStat software
  • Basics of spatial statistics and its application in crime analysis
  • Introduction to crime data types and sources
  • Case Study: Analyzing crime hotspots in a metropolitan area using CrimeStat

 

 

Module II: Data Preparation and Integration

 

  • Techniques for preparing crime data for analysis
  • Methods for integrating data from multiple sources
  • Cleaning and validating crime data
  • Hands-on Exercise: Integrating crime data from different jurisdictions to identify cross-boundary crime patterns

 

 

Module III: Spatial Analysis Techniques in CrimeStat

 

  • Using CrimeStat for spatial analysis and crime mapping
  • Techniques for identifying spatial patterns and trends
  • Conducting hot spot analysis and clustering
  • Case Study: Identifying and analyzing crime hot spots in a city using CrimeStat’s spatial analysis tools

 

 

Module IV: Advanced Statistical Analysis with CrimeStat

 

  • Applying advanced statistical methods for in-depth crime analysis
  • Understanding and interpreting statistical outputs
  • Conducting regression analysis and other advanced techniques
  • Practical Exercise: Using regression analysis to understand the relationship between socio-economic factors and crime rates

 

 

Module V: Reporting and Decision-Making

 

  • Techniques for effectively communicating analysis results
  • Creating reports and visualizations to support decision-making
  • Developing strategies and recommendations based on analysis
  • Case Study: Preparing a comprehensive crime analysis report for a local government agency to inform policy decisions
03

Course Administration

Methodology

This instructor-led training course is delivered using a blended learning approach comprising presentations, guided practical sessions, web-based tutorials, and group work.

Accreditation

Participants will receive a Tech For Development Certificate of Course Completion.

Training Venue

Held at the Tech For Development Training Centre.

Accommodation & Airport Transfer

Arranged upon request.
Email: letstalk@techfordevelopment.com
Phone: (+254) 790 824 179

Tailor-Made

Customised training available.

Payment

Send proof of payment to letstalk@techfordevelopment.com.

2026 Schedules

Date & Location Cost
23 Mar - 27 Mar
Nairobi
KES 75,000 |
$1,100
Enroll
25 May - 29 May
Nairobi
KES 75,000 |
$1,100
Enroll
22 Jun - 26 Jun
Nairobi
KES 75,000 |
$1,100
Enroll
27 Jul - 31 Jul
Nairobi
KES 75,000 |
$1,100
Enroll
24 Aug - 28 Aug
Nairobi
KES 75,000 |
$1,100
Enroll
26 Oct - 30 Oct
Nairobi
KES 75,000 |
$1,100
Enroll
23 Nov - 27 Nov
Nairobi
KES 75,000 |
$1,100
Enroll
25 Jan - 29 Jan
Nairobi
KES 75,000 |
$1,100
Enroll
22 Feb - 26 Feb
Nairobi
KES 75,000 |
$1,100
Enroll
22 Mar - 26 Mar
Nairobi
KES 75,000 |
$1,100
Enroll
26 Apr - 30 Apr
Nairobi
KES 75,000 |
$1,100
Enroll
24 May - 28 May
Nairobi
KES 75,000 |
$1,100
Enroll
26 Jul - 30 Jul
Nairobi
KES 75,000 |
$1,100
Enroll
23 Aug - 27 Aug
Nairobi
KES 75,000 |
$1,100
Enroll
25 Oct - 29 Oct
Nairobi
KES 75,000 |
$1,100
Enroll
22 Nov - 26 Nov
Nairobi
KES 75,000 |
$1,100
Enroll
27 Dec - 31 Dec
Nairobi
KES 75,000 |
$1,100
Enroll

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