Data science uses statistical, mathematical, and computational methods to analyze data, extract insights, and aid decision-making.
By: Yogesh
09/11/2024
Feature scaling normalizes or standardizes data, crucial because many algorithms perform better when features are on a similar scale.
Common types include bar charts, line graphs, histograms, scatter plots, pie charts, heat maps, and box plots. Each effectively conveys different insights.
A data analyst collects, processes, and analyzes data to provide insights that guide business decisions, using statistical and visualization tools
Time series analysis studies data points collected over time, used to identify trends, patterns, or seasonal effects.