Course Overview
Traditional analytics is no longer enough to keep pace with today’s data complexity. Augmented analytics, powered by Artificial Intelligence, automates data preparation, analysis, and visualization while delivering real-time insights. This Augmented Analytics and AI-Driven Insights Training Course teaches participants how to apply AI-driven tools for deeper analysis, predictive forecasting, and effective data storytelling.
Participants will explore self-service analytics platforms, natural language querying, and predictive models that empower decision-makers without requiring advanced technical skills. Real-world case studies and hands-on labs will show how augmented analytics enhances efficiency, accuracy, and business outcomes.
By the end of the course, attendees will be prepared to lead data-driven initiatives, apply predictive insights, and integrate augmented analytics into business strategies.
Course Benefits
Understand the fundamentals of augmented analytics
Automate data preparation and visualization with AI
Apply predictive models for smarter business forecasting
Communicate insights effectively through data storytelling
Build confidence in leading AI-driven decision-making
Course Objectives
Explore the role of AI in augmented analytics
Apply self-service analytics tools for business insights
Use natural language querying for data analysis
Integrate predictive analytics into decision-making processes
Build dashboards that automate and visualize key metrics
Ensure governance, accuracy, and ethical use of data
Foster a culture of data-driven leadership and innovation
Training Methodology
The course uses a practical approach with interactive lectures, demonstrations of augmented analytics platforms, group exercises, and case-based scenarios. Participants will apply tools directly to business datasets.
Target Audience
Business leaders and strategists
Data analysts and BI professionals
Managers seeking AI-powered insights
Professionals driving digital transformation
Target Competencies
Augmented analytics and automation
Predictive and prescriptive insights
Data storytelling and visualization
AI-driven decision-making
Course Outline
Unit 1: Introduction to Augmented Analytics
Defining augmented analytics and AI-driven insights
Benefits over traditional analytics
Core technologies: NLP, ML, and automation
Case studies of augmented analytics adoption
Unit 2: Self-Service Analytics and Automation
Tools for automating data preparation
Self-service analytics platforms
Reducing dependency on IT and data teams
Real-world examples of automation in action
Unit 3: Predictive and Prescriptive Insights
Building predictive models with AI
Prescriptive analytics for business strategy
Scenario analysis and forecasting
Applications across industries
Unit 4: Data Storytelling with AI
Turning complex data into clear narratives
Visualizing insights with AI-driven tools
Communicating findings to stakeholders
Best practices in storytelling with data
Unit 5: Governance, Ethics, and Future Trends
Ensuring data accuracy and reliability
Ethical use of AI in analytics
Governance frameworks for augmented analytics
Future innovations in AI-driven decision support
Ready to transform your decision-making with AI insights?
Join the Augmented Analytics and AI-Driven Insights Training Course with EuroQuest International Training and empower your organization with intelligent analytics.
The Augmented Analytics and AI-Driven Insights Training Courses in Madrid provide professionals with a forward-looking understanding of how artificial intelligence enhances data analysis, decision-making, and organizational intelligence. These programs are designed for data analysts, business leaders, strategists, and technology professionals seeking to transform raw data into actionable insights through advanced analytics, automation, and machine learning.
Participants explore the full potential of augmented analytics, learning how AI automates data preparation, discovers patterns, and generates predictive insights that support strategic and operational decisions. The courses emphasize how AI-driven tools enhance the speed, accuracy, and depth of analysis across all business functions—from finance and marketing to operations and risk management. Through hands-on exercises and real-world case studies, attendees develop the skills to leverage natural language queries, automated dashboards, and intelligent storytelling features that simplify complex data for diverse organizational audiences.
These AI-driven analytics training programs in Madrid focus on combining advanced analytical techniques with practical business application. Participants learn to apply machine learning models, interpret predictive outputs, and integrate augmented analytics platforms into existing business intelligence ecosystems. The curriculum also examines data governance, ethical considerations, and change management strategies required to ensure successful adoption of AI-powered insights within modern organizations.
Attending these training courses in Madrid allows professionals to engage with leading experts in data science, analytics, and digital transformation. The city’s innovative tech landscape provides an inspiring environment for exploring the future of AI-enhanced decision-making. By completing this specialization, participants will be equipped to harness augmented analytics to drive strategic clarity, enhance operational performance, and support data-driven leadership—empowering organizations to make faster, smarter, and more informed decisions in an increasingly data-intensive global marketplace.