Summary
Data science is an interdisciplinary field that utilizes statistical methods, machine learning algorithms, and data visualization to extract insights from large volumes of data. It involves programming skills, mathematical expertise, and domain knowledge to explore, transform, and model data for informed decision-making and predictions.
The first step in the data science pipeline is data capturing and manipulation. This process involves collecting and organizing data from various sources into a structured format. Data scientists work with large datasets, employing efficient methods to manipulate and transform the data. This includes merging datasets, filtering out irrelevant information, and handling missing or inconsistent data, ensuring a solid foundation for analysis.
Data cleansing and processing are crucial to enhancing data quality. Data scientists address anomalies and errors by identifying and handling missing values, outliers, and inconsistencies. They use imputation...
