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Data-driven decision making, analytics, and Cost-Benefit Analysis (CBA) for business and management.
⏱️ Length: 9.2 total hours
⭐ 4.45/5 rating
πŸ‘₯ 12,234 students
πŸ”„ December 2025 update

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  • Course Overview
    • This course empowers professionals to master Data-Driven Decision Making and Cost-Benefit Analysis (CBA). Move beyond intuition, leveraging evidence for strategic choices in complex business landscapes.
    • Gain skills to systematically evaluate projects, policies, and investments by quantifying financial and non-financial impacts. Ensure decisions are strategically sound and financially justifiable across diverse business contexts.
    • In a concise 9.2 hours, this high-impact program is validated by a 4.45/5 rating from over 12,000 students. Acquire immediate, applicable skills to drive measurable value and confidently foster organizational growth.
  • Requirements / Prerequisites
    • Basic Numeracy: Comfort with numbers and simple arithmetic expected; no advanced math or statistics required.
    • Business Context: General understanding of core business concepts (revenue, costs, profit) provides a valuable foundation.
    • Spreadsheet Familiarity: Basic proficiency with spreadsheet software (e.g., Excel, Google Sheets) beneficial for hands-on exercises.
    • Eagerness to Learn: A keen interest in enhancing decision-making skills and engaging with analytical frameworks are key.
  • Skills Covered / Tools Used
    • Strategic Problem Framing: Define decision problems, identify key data, and structure analytical approaches for actionable insights.
    • Core CBA Methodologies: Master quantifying costs/benefits, applying discounting (NPV), and assessing project viability (IRR).
    • Risk & Sensitivity Analysis: Incorporate uncertainty, perform sensitivity analysis, and evaluate decision robustness under scenarios.
    • Economic Decision Principles: Grasp opportunity cost; avoid biases like sunk cost fallacy for rational choices.
    • Stakeholder & Impact Assessment: Assess decision impacts on stakeholders and value chain for holistic, responsible outcomes.
    • Effective Communication: Synthesize complex analytics into clear, persuasive recommendations to secure stakeholder buy-in.
    • Tools Utilized: Primarily leverages accessible spreadsheet software (e.g., Excel, Google Sheets) for practical application.
  • Benefits / Outcomes
    • Enhanced Strategic Clarity: Objectively evaluate initiatives, prioritize projects, and allocate resources efficiently for clearer strategic direction.
    • Credible & Defensible Decisions: Confidently present/justify business cases with robust data and rigorous analytical backing.
    • Superior Problem-Solving: Acquire a structured approach to dissect multifaceted business problems, making evidence-based choices.
    • Accelerated Career Advancement: Position yourself as invaluable by demonstrating critical analytical and strategic thinking for leadership.
    • Cultivation of an Analytical Mindset: Internalize a mindset that constantly seeks data, questions assumptions, and evaluates alternatives.
    • Increased Organizational Impact: Directly contribute to bottom line and long-term sustainability through high-ROI projects/strategies.
  • PROS
    • Highly Practical & Applied: Focuses on real-world scenarios with actionable frameworks for professional roles.
    • Concise & Efficient Learning: Delivers maximum impact and essential skills in a focused 9.2-hour duration.
    • Broad Interdisciplinary Applicability: Valuable across all business functions/industries, relevant for diverse careers.
    • Strong Peer & Industry Validation: High 4.45/5 rating (12,000+ students) attests to proven effectiveness.
    • Future-Proofing Skillset: Equips learners with critical analytical, strategic, and financial justification capabilities.
    • Flexible & Self-Paced: Allows learners to progress at their own convenience, accommodating diverse schedules.
  • CONS
    • Limited Depth for Advanced Topics: Due to 9.2-hour duration, offers conceptual overviews, not deep dives into specialized statistical modeling or advanced software.
Learning Tracks: English,Business,Management
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