Data Science Fundamentals Training Course
Introduces the core principles and methods of data science, from statistics and the data lifecycle to machine learning and its business applications.
5 Days·Classroom
Equips managers to turn operational, financial and customer data into evidence-based decisions using AI analytics, predictive models and decision frameworks.
Free substitution at any time · 30+ days' notice: full refund minus 10%. Cancellation policy
The AI for Data-Driven Decision Making Training Course is designed to equip executives, managers, and professionals with the knowledge and practical skills required to leverage Artificial Intelligence (AI) for making faster, smarter, and evidence-based business decisions. As organizations continue to generate increasing volumes of operational, financial, customer, and strategic data, the ability to transform this information into actionable insights has become a critical capability for achieving operational excellence, innovation, and sustainable growth. This course provides a comprehensive framework for integrating AI-powered analytics into organizational decision-making processes, enabling leaders to replace intuition-based decisions with data-driven strategies that improve organizational performance. Artificial Intelligence is transforming decision-making by enabling organizations to automate data analysis, identify hidden patterns, forecast future outcomes, detect anomalies, generate intelligent recommendations, and deliver real-time business insights. Throughout the AI for Data-Driven Decision Making Training Course, participants will explore how Machine Learning, Generative AI, Predictive Analytics, Natural Language Processing (NLP), Business Intelligence (BI), Data Mining, and Intelligent Automation can improve strategic planning, operational management, financial forecasting, risk assessment, customer experience, and performance management. The course demonstrates how AI empowers decision-makers to make informed, timely, and objective decisions across every level of the organization. The course combines internationally recognized decision-making methodologies with practical AI applications relevant to government entities, ministries, public sector organizations, financial institutions, oil and gas companies, healthcare organizations, manufacturing enterprises, telecommunications providers, logistics companies, utilities, and multinational corporations. Participants will learn how to collect, prepare, analyze, visualize, and interpret business data, develop AI-supported decision models, evaluate alternative scenarios, measure business performance, and communicate analytical insights effectively to stakeholders. The program also addresses data governance, data quality, cybersecurity, privacy protection, regulatory compliance, AI governance, and ethical AI to ensure responsible, transparent, and trustworthy decision-making. Combining strategic concepts with practical implementation, this course enables executives, managers, analysts, and technical professionals to successfully establish AI-powered decision-making capabilities across their organizations. Through practical workshops, business simulations, real-world case studies, and implementation exercises, participants will develop the competencies required to improve organizational agility, strengthen business intelligence, optimize resource allocation, enhance operational performance, accelerate digital transformation, and build a sustainable data-driven organizational culture.
Course Outline:
Selected date
Amsterdam · 1 – 5 Mar 2027 · Classroom
Need more details?Chat with us on WhatsApp
| City | Dates | Price per Participant | Early Bird | |
|---|---|---|---|---|
AmmanScheduled | 2 – 6 Nov 2026 | €4,000 | — | |
DammamScheduled | 2 – 6 Nov 2026 | €4,800 | — | |
LondonScheduled | 2 – 6 Nov 2026 | €5,800 | — | |
MuscatScheduled | 2 – 6 Nov 2026 | €6,300 | — | |
OnlineScheduled | 8 – 12 Nov 2026 | €2,700 | — | |
AmsterdamScheduled | 9 – 13 Nov 2026 | €6,000 | — | |
DohaScheduled | 9 – 13 Nov 2026 | €4,700 | — | |
MadinahScheduled | 9 – 13 Nov 2026 | €4,800 | — | |
DubaiScheduled | 15 – 19 Nov 2026 | €4,700 | — | |
BakuScheduled | 16 – 20 Nov 2026 | €5,300 | — | |
MadridScheduled | 16 – 20 Nov 2026 | €6,000 | — | |
ParisScheduled | 16 – 20 Nov 2026 | €6,700 | — | |
BangkokScheduled | 23 – 27 Nov 2026 | €6,700 | €6,030until 2 Nov | |
FrankfurtScheduled | 23 – 27 Nov 2026 | €6,200 | €5,580until 2 Nov | |
MakkahScheduled | 23 – 27 Nov 2026 | €4,800 | €4,320until 2 Nov | |
RabatScheduled | 23 – 27 Nov 2026 | €4,700 | €4,230until 2 Nov | |
BarcelonaScheduled | 30 Nov – 4 Dec 2026 | €6,000 | €5,400until 9 Nov | |
GenevaScheduled | 30 Nov – 4 Dec 2026 | €7,300 | €6,570until 9 Nov | |
ManamaScheduled | 30 Nov – 4 Dec 2026 | €5,300 | €4,770until 9 Nov | |
RomeScheduled | 30 Nov – 4 Dec 2026 | €7,000 | €6,300until 9 Nov | |
BerlinScheduled | 7 – 11 Dec 2026 | €6,300 | €5,670until 16 Nov | |
IstanbulScheduled | 7 – 11 Dec 2026 | €5,300 | €4,770until 16 Nov | |
MarrakeshScheduled | 7 – 11 Dec 2026 | €4,700 | €4,230until 16 Nov | |
ViennaScheduled | 7 – 11 Dec 2026 | €6,400 | €5,760until 16 Nov | |
CairoScheduled | 14 – 18 Dec 2026 | €3,800 | €3,420until 23 Nov | |
Kuala LumpurScheduled | 14 – 18 Dec 2026 | €4,700 | €4,230until 23 Nov | |
MilanScheduled | 14 – 18 Dec 2026 | €7,000 | €6,300until 23 Nov | |
CasablancaScheduled | 21 – 25 Dec 2026 | €4,700 | €4,230until 30 Nov | |
LisbonScheduled | 21 – 25 Dec 2026 | €6,000 | €5,400until 30 Nov | |
MunichScheduled | 21 – 25 Dec 2026 | €6,000 | €5,400until 30 Nov | |
AmsterdamScheduled | 1 – 5 Mar 2027 | €6,000 | €5,400until 8 Feb |
Introduces the core principles and methods of data science, from statistics and the data lifecycle to machine learning and its business applications.
5 Days·Classroom
Equips professionals to use AI and machine learning to analyze structured and unstructured data and turn it into business intelligence for better decisions.
5 Days·Classroom
Teaches how to combine statistics, machine learning and AI to forecast outcomes, anticipate trends and spot risks such as fraud before they hit the business.
5 Days·Classroom
Speak with our advisors about upcoming programmes or a bespoke corporate training plan.