Data Science is a field that encompasses various disciplines, including statistics, and machine learning while data analytics is more focused on analyzing existing data to extract actionable insights.
Data Science employs a wide range of methodologies, including machine learning, deep learning while data analytics uses statistical methods and business intelligence tools to analyze historical data.
Data Scientists require a deep understanding of mathematics, statistics, and computer science while Data Analysts need a solid foundation in statistics and data visualization.
Data Science has applications, from developing recommendation systems to creating predictive models for healthcare while data analytics is commonly used in business intelligence and performance management.
Data Scientists have advanced degrees in fields like computer science, statistics, or engineering while data analysts can come from diverse educational backgrounds, including business, economics, and social sciences.