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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.