poojachhabra
@poojachhabra
Data analytics is the process of examining raw data to uncover patterns, correlations, and trends. It involves applying various techniques and tools to transform data into meaningful insights that can be used to make informed business decisions.
Key Aspects of Data Analytics:
Data Collection: Gathering data from different sources, which can include databases, spreadsheets, sensors, and more.
Data Cleaning and Preparation: Ensuring data quality by removing errors, handling missing values, and transforming data into a usable format.
Data Analysis:
Descriptive Analytics: Summarizing historical data to understand past trends and performance.
Predictive Analytics: Using statistical models and machine learning algorithms to forecast future outcomes.
Prescriptive Analytics: Providing recommendations on possible outcomes and actions to achieve specific goals.