Key Components

Data Collection

Data science starts with gathering data from various sources. This can include databases, online repositories, and even IoT devices. The quality and quantity of data collected are critical for accurate analysis.

Data Cleaning

Raw data usually contains errors and inconsistencies. Cleaning this data involves removing duplicates, filling in missing values, and correcting inaccuracies. This step ensures the data is usable for analysis.