Atharv Gyan

Data Science, Data Analysis, and Data Engineering: What's the Difference? Data science, data analysis, and data engineering are all closely related fields that involve working with data. However, there are some key differences between these three disciplines. Data Science Data science is a broad field that encompasses the collection, analysis, interpretation, and presentation of data. Data scientists use a variety of tools and techniques to extract insights from data, including machine learning, statistical analysis, and visualization. Data scientists typically have a strong background in mathematics, statistics, and computer science. Data Analysis Data analysis is a more focused field than data science. Data analysts use data to answer specific questions or solve particular problems. They typically use a variety of tools and techniques, such as SQL, Excel, and Tableau. Data analysts typically have a strong background in mathematics, statistics, and business. Data Engineering Data