Overview
Data Science is an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It involves various techniques from statistics, machine learning, and data analysis.
Key Components
- Statistics & Mathematics: Foundation for modeling and inference.
- Programming: Tools like Python and R for data manipulation.
- Domain Expertise: Understanding the context of the data.
- Data Engineering: Preparing and managing data pipelines.
Lifecycle
- Data Acquisition
- Data Preparation
- Data Exploration
- Modeling
- Evaluation
- Deployment