Image 1 of 1
This course explores critical foundational concepts including:
Data vs. Information: Discover how raw data transforms into actionable insights, enabling informed decision-making
Population vs. Sample: Learn strategies for accurately selecting and analyzing representative samples to make reliable inferences about larger populations.
Qualitative vs. Quantitative Data: Understand the distinction between qualitative insights and quantitative metrics, and how each type informs effective analysis.
vs. Causation: Master the critical thinking needed to distinguish between correlated variables and causal relationships, avoiding common pitfalls in data interpretation.
Data Governance: Gain essential knowledge on managing data responsibly, including security, privacy, compliance, and best practices for governance frameworks.
Machine Learning (ML) vs. Artificial Intelligence (AI): Clarify these often-confused concepts, exploring their differences, applications, and implications for businesses and society.
This well-rounded intro course will equip you with the insights and practical skills to navigate the data-driven world confidently.
