Enquêtes Analytiques (Niveau Basique)

Aperçu

Developing Unbiased Information in Investigative Inquiries What you'll learn:

What Bias is and how to recognize, and reduce its influence when collecting information during an investigative inquiry.What Source Reliability flow is and how to conduct a Source Reliability Assessment.What is Information Credibility flow and how to conduct an Information Credibility Assessment to reduce bias.How to merge Source Reliability and Information Credibility to develop valid and unbiased assessments of actionable information.What is OSINT and how it can be used in investigative inquiriesBONUS:

Learn how to "Sharpen the Saw" and stay at your analytic best! By the end of this course you will know:

What Bias is and how to minimize its influence when collecting information for your investigative inquiryWhat the Source Reliability flow is and how to conduct a Source Reliability Assessment to improve the pool of information sourcesWhat the Information Credibility flow is and how to conduct an Information Credibility Assessment to reduce biasHow Source Reliability and Information Credibility merge to create valid and unbiased assessments and provide actionable information This course is designed for professionals new or newly assigned to investigative inquiries, and related responsibilities including:

Private Investigators, Insurance Claims and Fraud Investigators, Law Enforcement Investigators, Journalists, Attorneys or anyone in the public safety / public security and Business sectors.

Successful investigative professionals recognize the value of reliable sources and understand the need for credible information.This basic course will introduce you to a simple method to help you make better assessments of the reliability of your sources of information, as well as the credibility of the information itself to make your best decision. This a basic level course and is not designed or intended for the experienced, seasoned expert.

It is the firstof three courses in Analytic Investigations Training series, so if you already have extensive experience as an intelligence expert, or have completed advanced training in this field, I recommend you check out the more advanced courses on this topic. In order to help new or newer analysts continue to hone and improve your skills, I have included a bonus section at the end of this course.

Programme

• Introduction aux investigations analytiques
Aperçu du cours et objectifs
Concepts clés dans les investigations analytiques
• Notions de base sur la collecte et la préparation des données
Types de données (structurées, non structurées)
Sources de données et méthodes d'acquisition
Techniques de nettoyage et de prétraitement des données
• Introduction à l'analyse des données
Statistiques descriptives
Analyse exploratoire des données
Visualisation de données de base
• Introduction aux méthodes statistiques
Distributions de probabilité
Tests d'hypothèses
Analyse de régression de base
• Introduction à l'apprentissage automatique
Apprentissage supervisé vs non supervisé
Algorithmes de base (k-NN, arbres de décision)
Évaluation et validation de modèles
• Outils et technologies pour l'analyse
Aperçu des outils logiciels (par exemple, Python, R)
Introduction aux bibliothèques de manipulation de données (par exemple, Pandas, NumPy)
• Rapport et présentation des résultats analytiques
Création de rapports clairs et informatifs
Techniques de visualisation efficaces pour présenter les données
• Considérations éthiques dans l'analyse des données
Vie privée et sécurité des données
Utilisation responsable des données et des algorithmes
• Études de cas et applications réelles
Examen d'études de cas de base
Discussion sur les applications industrielles
• Résumé et conclusion du cours
Récapitulatif des concepts et compétences clés
Étapes suivantes et opportunités d'apprentissage supplémentaires

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Enseigné par

Eugene Matthews

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Matières

Information Security (InfoSec)