Technology·Course
Technology & Data
Digital technologies for business: data analytics, AI, digital transformation, cybersecurity and tech strategy
5
Modules
25
Articles
~3 h
Reading
IV
CLOs
§ 01 — Curriculum
5 modules.
Each module is a small unit. Most read in sequence — but a determined reader can begin anywhere.
- M IDigital Transformation and AIWhat digital transformation is, the role of AI in business, and digital transformation strategy.5 articles
30 minBegin → - M IIData and Analytics for BusinessData-driven decision-making, business analytics, DataOps, BI tools, and Machine Learning in products.5 articles
30 minBegin → - M IIIFintech and Digital FinanceThe fintech industry, neobanks, payment systems, blockchain, cryptocurrencies, and RegTech.5 articles
30 minBegin → - M IVCybersecurity and RiskCybersecurity for business, key threats, data protection, and cyber risk management.5 articles
30 minBegin → - M VPropTech and Real EstateTechnologies in real estate, smart buildings, digital platforms, tokenization, and asset management.5 articles
30 minBegin →
§ 02 — Learning outcomes
4 outcomes.
CLO I
Digital Technologies
Understand key digital technologies (AI, cloud computing, blockchain, IoT) and their application in a business context
CLO II
Data Analysis
Apply data analysis methods to derive insights and support managerial decision-making
CLO III
Digital Transformation
Design and implement strategies for the digital transformation of business and operational processes
CLO IV
Cybersecurity
Assess cybersecurity risks, implement protective measures, and ensure compliance with regulatory requirements
§ 03 — Practices