Leadership Through Analytics & Artificial Intelligence
Course Overview
Course Objectives
By the end of this course, participants will be able to:
- Identify and analyze key business turning points using data-driven insights
- Translate raw data into strategic decisions aligned with enterprise vision and mission
- Understand core data analytics techniques and objectives
- Gain knowledge of AI methods and their appropriate applications
- Assess organizational readiness for AI adoption and implementation
Course Audience
- Business Leaders and Executives
- Data Analysts and Data Scientists
- AI and Machine Learning Professionals
- Strategy and Innovation Managers
- IT and Digital Transformation Leaders
- Operations and Process Improvement Managers
- HR and Talent Management Professionals
- Marketing and Customer Insights Specialists
- Financial Analysts and Risk Managers
- Professionals seeking to integrate AI and analytics into decision-making
Course Methodology
- Interactive Lecture-Led Sessions
- Core concepts of data analytics, AI, and machine learning
- Strategic frameworks for business decision-making
- Real-world examples to illustrate AI and analytics applications
- Hands-On Workshops and Practical Exercises
- Building AI-powered dashboards and KPIs in Excel and Power BI
- Developing predictive models and scenario analyses
- Creating chatbot prototypes and applying sentiment analysis (if relevant)
- Case Studies and Role-Playing
- Analysis of real business cases demonstrating AI-driven decision-making
- Simulated business scenarios for participants to apply learning
- Discussions on successes, challenges, and lessons learned
- Group Discussions and Collaborative Learning
- Knowledge-sharing among participants
- Brainstorming sessions to solve business problems using AI and analytics
- Peer feedback and strategy refinement
- Assessment and Reflection
- Evaluating insights gained from exercises and simulations
- Reflecting on organizational applicability and readiness for AI adoption
- Identifying opportunities to implement AI solutions in participants’ own work environments
Course Outline
Day 1: Making the Right Move
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Understanding business dynamics and decision-making
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Data-driven decision-making: leveraging information for strategic choices
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Intelligent decision-making processes
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Overview of data analytics and machine learning
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Core concepts and techniques in artificial intelligence
Day 2: From Business Data to Enterprise Goals
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Data analysis for current-state visualization
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Exploring historical data to identify turning points
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Understanding causality: why events occur in business
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Predicting future trends with AI
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Scenario analysis for optimal decision-making
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Workshop: Defining and analyzing KPIs using Excel
Day 3: Machine Learning Case Studies
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Customer segmentation using machine learning for market insights
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AI-powered recommendation systems for personalized suggestions
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Reinforcement learning for adaptive business decision-making
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Basket analysis: understanding consumer behavior with ML
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Data visualization using Power BI
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Workshop: Hands-on experience with Power BI
Day 4: Thinking and Acting like Humans
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Comparing human intelligence vs. machine intelligence
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Introduction to artificial neural networks
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Deep learning and its business applications
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Fuzzy logic systems for decision-making
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Case studies of AI-driven decision-making
Day 5: Thinking and Acting Reasonably
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Overview of computer vision and intelligent agents
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Optimization with genetic algorithms and evolutionary computing
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Swarm intelligence for nature-inspired problem solving
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Workshop: Case studies in AI applications and optimization
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Success factors for AI and data analytics projects
Certificates