| 4.1 Data and Analysis | Data science uses methods, processes, algorithms, and systems to extract knowledge from structured and unstructured data. |
| 4.1.2 Concepts of Data Science | - Data: Observations, facts, or information collected
- Dataset: Structured collection of data
- Statistics and Probability: Frequency and event likelihood
- Mathematics: Problem-solving tools
- Machine Learning: AI for data analysis
- Deep Learning: Neural networks focus
- Data Mining: Extracting patterns from data
- Data Visualization: Graphical representation
- Additional Concepts: Big Data, Predictive Analysis, NLP
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| 4.1.3 Scope and Application of Data Science | - Predictive analytics
- Machine learning implementation
- Data visualization techniques
- Recommendation systems development
- Sentiment analysis
- Fraud detection mechanisms
- Decision-making support
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| Business Problems Solved | - Optimizing shipping routes
- Product selection
- Forecasting delays
- Optimizing delivery times
- Predicting company revenue
- Health benefits analysis
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| 4.1.4 Industry Applications | - Retail: Decisions, trend prediction
- Supply Chain: Inventory, demand forecasting
- Logistics: Route optimization, load balancing
- Stock Markets: Algorithmic trading, risk management
- E-commerce: Recommendation systems, fraud detection
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