Data Analysis
Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It involves applying statistical and computational techniques to extract insights from structured or unstructured data, often using tools like Python, R, SQL, and visualization libraries. This skill is fundamental in fields such as business intelligence, scientific research, and machine learning.
Developers should learn data analysis to enhance their ability to work with data-driven applications, optimize system performance, and contribute to data-informed product decisions. It is essential for roles involving data engineering, analytics, or machine learning, such as when building dashboards, performing A/B testing, or preprocessing data for AI models. Mastering data analysis helps in interpreting user behavior, improving software efficiency, and solving complex problems with empirical evidence.