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Course

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The Augmented Analytics and AI-Driven Insights course in Budapest helps professionals leverage AI and machine learning to extract valuable insights from data, improving decision-making.

Budapest

Fees: 5900
From: 21-09-2026
To: 25-09-2026

Augmented Analytics and AI-Driven Insights

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.

Augmented Analytics and AI-Driven Insights

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.