Data-Driven Leadership with Analytics and AI

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Data-Driven Leadership with Analytics and AI

This course is part of Modern Business Trends: AI, Data & Digital Strategy Specialization

Instructor: TSV Learning

Included with Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Apply analytics, metrics, hypothesis testing, and A/B testing to support evidence-based business decisions.
Identify cognitive and AI-related biases and apply debiasing methods and human oversight to improve decision quality.
Design monitored AI feedback loops that detect drift, validate outcomes, and support scalable decision intelligence.

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Build your subject-matter expertise

This course is part of the Modern Business Trends: AI, Data & Digital Strategy Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

Build practical skills in AI, circular economy, ESG, and climate-risk analysis to turn sustainability goals into actionable business strategies. Designed for learners focused on sustainable business transformation, this course explores how agentic AI, intelligent automation, IoT, and real-time environmental data can optimize energy and resources, reduce carbon emissions, strengthen ESG monitoring and reporting, and improve sustainable operations.

You’ll apply circular-economy principles across value chains, product design, material recovery, reverse logistics, refurbishment, remanufacturing, product-as-a-service, sharing, and resource-efficient business models. You’ll also evaluate physical and transition climate risks and their effects on credit, investment, insurance, real estate, supply chains, asset values, and corporate resilience. The course uniquely connects AI-powered sustainability with circular business-model innovation, climate risk, ESG regulation, disclosure, transition finance, and compliance. By the end, you’ll be able to formulate scalable, compliant, AI-enabled, circular, and climate-resilient strategies that improve lifecycle value, resource efficiency, and long-term sustainability performance.

This module develops the foundations of data-driven decision-making through analytics taxonomy, statistical measures, performance metrics, data questioning, hypothesis testing, and A-B testing. Learners will transform broad business concerns into measurable inquiries and evaluate evidence within the correct context.

What's included

9 videos4 assignments

9 videosTotal 70 minutes

Course Introduction10 minutes
Analytics Taxonomy7 minutes
Statistical Measures10 minutes
Performance Metrics7 minutes
Metric Pitfalls5 minutes
Asking Better Data Questions7 minutes
A-B Testing Fundamentals7 minutes
Hypothesis and Analysis Types9 minutes
Hypothesis Case Studies8 minutes

4 assignmentsTotal 60 minutes

BUILDING THE DATA-DRIVEN DECISION TOOLKIT30 minutes
UNDERSTANDING THE ANALYTICS LANDSCAPE10 minutes
MEASURING WHAT MATTERS10 minutes
TESTING IDEAS WITH DATA10 minutes

This module examines how human psychology, heuristics, framing, and cognitive biases affect evidence-based decisions. Learners will diagnose decision traps such as confirmation bias, loss aversion, selection bias, groupthink, narrative fallacy, and recency bias.

What's included

8 videos4 assignments

8 videosTotal 59 minutes

Data-Driven Culture8 minutes
Human Decision Psychology I8 minutes
Human Decision Psychology II8 minutes
Cognitive Biases5 minutes
Framing Effect in Decision Making9 minutes
Loss Aversion and Survivorship Bias9 minutes
Base Rate Neglect and Halo Effect7 minutes
Narrative Fallacy and Pattern Recognition6 minutes

4 assignmentsTotal 60 minutes

PSYCHOLOGY, BIAS, AND BETTER DECISIONS30 minutes
CREATING A CULTURE OF EVIDENCE-BASED DECISIONS10 minutes
HOW BIAS SHAPES DECISIONS10 minutes
RECOGNIZING HIDDEN DECISION TRAPS10 minutes

This module connects cognitive debiasing and behavioral interventions with operational AI. Learners will apply human-in-the-loop safeguards, ethical decision frameworks, model monitoring, feedback patterns, validation methods, and continuous retraining strategies.

What's included

8 videos4 assignments

8 videosTotal 59 minutes

Optimism Bias and Automation Bias9 minutes
Bias Mitigation Techniques7 minutes
Cognitive Debiasing7 minutes
Behavioral Interventions8 minutes
AI Deployment Fundamentals6 minutes
AI Feedback Systems7 minutes
Indirect Feedback Methods8 minutes
Feedback Validation6 minutes

4 assignmentsTotal 60 minutes

FROM BIAS AWARENESS TO INTELLIGENT SYSTEMS30 minutes
IDENTIFYING MODERN DECISION BIASES10 minutes
DESIGNING BETTER HUMAN DECISIONS10 minutes
BUILDING AI SYSTEMS THAT LEARN10 minutes

This module focuses on secure feedback infrastructure, reinforcement learning from human feedback, industry feedback loops, continuous improvement, AI governance, edge computing, model evaluation, and scalable decision-intelligence platforms.

What's included

8 videos4 assignments

8 videosTotal 53 minutes

Feedback Infrastructure6 minutes
Reinforcement Learning Feedback7 minutes
Secure Feedback Channels6 minutes
Industry Feedback Loops8 minutes
Continuous Improvement6 minutes
Evaluating Feedback Systems7 minutes
Scaling AI Models6 minutes
Future of Decision Intelligence6 minutes

4 assignmentsTotal 60 minutes

SCALING FEEDBACK AND DECISION INTELLIGENCE30 minutes
BUILDING RELIABLE FEEDBACK INFRASTRUCTURE10 minutes
OPTIMIZING FEEDBACK AT SCALE10 minutes
THE FUTURE OF INTELLIGENT DECISION-MAKING10 minutes

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Instructor

TSV Learning

The Skill Valley

83 Courses544 learners

Offered by

The Skill Valley

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