What is Data Science?

In simple terms…

Data science is a way of finding patterns in data. It uses math and computers to look for what people buy together, how people feel about products, and how things change over time. Data scientists can use this information to make predictions, solve problems, and make better decisions.

Here are some examples of how data science is used:

• Clustering: Data scientists can use clustering to group customers together based on their purchasing behaviour. This can help businesses understand their customers better and target them with more relevant marketing messages.
• Dimensionality reduction: Data scientists can use dimensionality reduction to reduce the data they need to analyze. This can make it easier to find patterns and make predictions.
• Association rule mining: Data scientists can use association rule mining to find relationships between different items. This can help businesses identify products that people are likely to buy together.

Photo by John Schnobrich on Unsplash

• Text mining: Data scientists can use text mining to extract information from text data. This can be used to understand customer sentiment, identify trends, and generate insights.
• Time series analysis: Data scientists can use time series analysis to forecast future events. This can predict sales, stock prices…