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 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.