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 Budapest equip professionals with the capabilities to integrate artificial intelligence and advanced analytical tools into business intelligence and decision-making processes. Designed for data analysts, business strategists, managers, and digital transformation leaders, these programs focus on how augmented analytics automates data preparation, enhances analytical accuracy, and accelerates insight generation for strategic and operational decisions.
Participants explore the foundational concepts of augmented analytics, including automated data discovery, natural language query tools, machine learning-assisted forecasting, and AI-driven data visualization. The courses highlight how AI enables users to move beyond traditional reporting by identifying patterns, uncovering correlations, and generating predictive insights that support proactive planning and performance optimization. Through real-world examples and practical exercises, attendees learn to evaluate datasets, interpret analytical outputs, and present insights clearly to stakeholders across business and technical functions.
These AI and analytics training programs in Budapest emphasize hands-on skill development through the use of modern BI platforms, automated modeling tools, and AI-enhanced dashboard systems. Participants gain experience in building interactive reports, designing advanced visualizations, and applying predictive analytics to support strategic initiatives. The curriculum also addresses key considerations such as data governance, explainability, ethical decision support, and alignment between analytical outcomes and business objectives.
Attending these training courses in Budapest provides professionals with a collaborative learning environment enriched by the city’s vibrant business and technology sectors. Participants benefit from expert guidance, peer exchange, and exposure to emerging trends in intelligent analytics and data-driven management.
By completing this specialization, professionals will be well-equipped to leverage augmented analytics tools to generate meaningful insights, streamline decision-making workflows, and enhance organizational agility. They will emerge ready to lead data-informed strategies, support digital innovation, and contribute to measurable performance improvement in a rapidly evolving analytical landscape.