Predictive analytics uses historical data, statistical algorithms, and machine learning to forecast future outcomes.
Big data is defined by its high volume, velocity, and variety, requiring advanced tools for processing and analysis.
Structured data is highly organized and stored in a predefined format, such as rows and columns in relational databases.
Python is a popular programming language used in data analytics due to its extensive libraries and ease of use.
The first step in data analytics is defining the problem or objective to ensure the analysis aligns with business needs.
Data analytics is used to extract meaningful insights from data to support decision-making and improve business operations.
