Data Science and Business Analytics
Starting at
4
€
Course length
Location
Language
Scientific Coordination
Executive Coordination
Course Objective
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data.
Target Audience
This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data.
1st Module
Introduction to
Cybersecurity concepts
(3 hours)
Eng. José Alegria (Altice)
-
Cyber Security definition
-
Importance of security at different layers (from physical to information)
-
Fundamental information security properties: confidentiality, integrity, availability
-
Types of vulnerabilities
-
Types of attacks
-
Motivations of attackers
-
Phases of an attack
-
Attack-Vulnerability-Intrusion (AVI) model
-
NIST Cybersecurity Framework: Identify, Protect, Detect, Respond, Recover
2nd Module
Identification of assets
and risk concepts
(3 hours)
Prof. Ana Respício (FCUL)
-
Resources
-
Information flows and dependencies
-
Security policies and responsibilities
-
Risk identification
-
Risk assessment
-
Risk analysis
-
Risk management
-
Control strategies
-
Cost-benefit analysis in InfoSec
1st Module
Introduction to
Cybersecurity concepts
(3 hours)
Eng. José Alegria (Altice)
-
Cyber Security definition
-
Importance of security at different layers (from physical to information)
-
Fundamental information security properties: confidentiality, integrity, availability
-
Types of vulnerabilities
-
Types of attacks
-
Motivations of attackers
-
Phases of an attack
-
Attack-Vulnerability-Intrusion (AVI) model
-
NIST Cybersecurity Framework: Identify, Protect, Detect, Respond, Recover
2nd Module
Protection of assets and detection of attacks
(3 hours)
Eng. Paulo Moniz (EDP)
-
Access control (Authentication, Authorization, Accounting)
-
Network protection (SSL/TLS, VPNs)
-
Infrastructure protection (Firewalls, IPS, Antivirus)
-
Information protection (backups, DLP tools)
-
Penetration testing
-
Personnel training
-
Intelligence gathering systems/OSINT
-
Vulnerability scanners
-
Event gathering and monitoring systems (Syslog, NIDS, HIDS)
-
Event correlation (SIEMs)
3rd Module
Protection of assets and detection of attacks
(3 hours)
Eng. Paulo Moniz (EDP)
-
Access control (Authentication, Authorization, Accounting)
-
Network protection (SSL/TLS, VPNs)
-
Infrastructure protection (Firewalls, IPS, Antivirus)
-
Information protection (backups, DLP tools)
-
Penetration testing
-
Personnel training
-
Intelligence gathering systems/OSINT
-
Vulnerability scanners
-
Event gathering and monitoring systems (Syslog, NIDS, HIDS)
-
Event correlation (SIEMs)
4th Module
Reaction & Recovery
(3 hours)
Eng. Marcelo Rodrigues (PWC)
-
Response plans (legal frameworks)
-
Incident management (CERT/CSIRT teams)
-
Analysis of incident impacts
-
Contingency plans
-
Disaster recovery
-
Business continuity
-
Image recovery and communication
5th Module
Cybersecurity Law
(3 hours)
Dra. Magda Coco (VdA)
-
The importance of the legal dimension
-
Main legal concepts
-
Cybersecurity legal and regulatory framework – main trends
-
The legal impacts of a cyber incident
-
A strategic approach to cybersecurity regulatory framework (general and sector-specific legislation)