Here, are 10 Key components of data science

Data Collection

Data Cleaning and Preprocessing

Exploratory Data Analysis (EDA)

Feature Engineering

Machine Learning

Statistical Analysis

Data Visualization

Domain Knowledge

Big Data Technologies

Ethical Consideration

Data science is widely used in various fields, including business, healthcare, finance, marketing, and scientific research, to make data-driven decisions, optimize processes, and gain a competitive advantage. Data science is widely used in various fields, including business, healthcare, finance, marketing, and scientific research, to make data-driven decisions, optimize processes, and gain a competitive advantage.