Technology·Course
Technology & Data
Digital technologies for business: data analytics, AI, digital transformation, cybersecurity and tech strategy
Part of the Business & Economics track — finish it for a verifiable diploma →
§ 01 — Orientation
New here?
What you'll be able to do, who this is for, how long it takes, and where to begin.
By the end, you will be able to
- 01Speak the language of modern digital technology.
- 02Turn raw data into a decision.
- 03Lead a digital-transformation initiative.
- 04Understand core cybersecurity risks and defenses.
- 05Judge which technology is worth adopting.
Who this is for
How long it takes
- Quick orientationSkim the opening module and the cheatsheet to get the shape of it.~2 h
- Full read-throughRead every article once, in order.~3 h
- Mastery pathRead, take the quizzes, and space out your reviews.~2 weeks
- APA
Stoa. (2026). Technology & Data [Online course]. Stoa. https://stoa.school/course/technology
- MLA
Stoa. “Technology & Data.” Stoa, 2026, https://stoa.school/course/technology.
- Chicago
Stoa. “Technology & Data.” Stoa. Accessed September 1, 2026. https://stoa.school/course/technology.
§ 02 — 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 →
§ 03 — Learning outcomes
4 outcomes.
Understand key digital technologies (AI, cloud computing, blockchain, IoT) and their application in a business context
Apply data analysis methods to derive insights and support managerial decision-making
Design and implement strategies for the digital transformation of business and operational processes
Assess cybersecurity risks, implement protective measures, and ensure compliance with regulatory requirements
§ 04 — Practices