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The Augmented Analytics and AI-Driven Insights course in Jakarta is a specialized training course designed for professionals seeking to enhance their data analytics capabilities using AI and augmented analytics techniques.

Jakarta

Fees: 5900
From: 16-02-2026
To: 20-02-2026

Jakarta

Fees: 5900
From: 19-10-2026
To: 23-10-2026

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 Jakarta empower professionals to harness artificial intelligence and advanced analytics to enhance decision-making, accelerate insight generation, and drive strategic value across organizations. Designed for data analysts, business intelligence professionals, managers, and digital transformation leaders, these programs focus on how AI augments human analysis by automating data preparation, pattern discovery, and insight interpretation.

Participants gain a comprehensive understanding of augmented analytics, exploring how machine learning, natural language querying, and automated data modeling transform traditional analytics workflows. The courses emphasize practical techniques for turning large and complex datasets into actionable insights, enabling faster and more informed business decisions. Through hands-on exercises and real-world case studies, participants learn how AI-driven analytics tools support forecasting, anomaly detection, performance monitoring, and strategic planning across diverse business functions.

These augmented analytics and AI training programs in Jakarta balance analytical theory with applied business practice. Participants explore topics such as data visualization, explainable AI, insight storytelling, and the integration of analytics platforms into enterprise environments. The curriculum highlights how augmented analytics reduces dependency on manual analysis, improves data accessibility for non-technical users, and enhances collaboration between technical and business teams—strengthening overall analytical maturity.

Attending these training courses in Jakarta offers professionals an interactive learning experience guided by experts in analytics and artificial intelligence. Jakarta’s expanding digital and innovation ecosystem provides a dynamic context for exploring global trends in AI-driven decision intelligence. By completing this specialization, participants will be equipped to leverage augmented analytics with confidence—driving smarter decisions, improving organizational agility, and unlocking sustainable value from data in an increasingly competitive and data-driven global marketplace.