31_datascience and analytics
Data Science & Analytics:
Data Science: Uses scientific methods and algorithms to extract insights from data. Involves data collection, cleaning, exploration, model building, evaluation, and deployment.
Analytics: Analyzes data to uncover patterns and trends. Includes descriptive (what happened), diagnostic (why it happened), predictive (what might happen), and prescriptive (what to do) analytics.
Overlap: Data science often employs analytics techniques to build and refine models for actionable insights.