Understanding Causality in Data Science

Causality in data science is about understanding cause-and-effect relationships in data. While data analysis often reveals patterns and correlations, causality goes a step further by determining whether one event directly influences another. This is important because many decisions rely on knowing whether a specific action will produce a desired outcome, rather than just identifying patterns… Continue reading Understanding Causality in Data Science

The Importance of Data Privacy and Governance

Data is everywhere. From social media to online shopping, every action we take generates information that can be collected, stored, and analyzed. While data has become a powerful tool for businesses and governments, it also raises concerns about privacy and security. This is where data privacy and governance come into play, ensuring that personal and… Continue reading The Importance of Data Privacy and Governance