What is the difference between data science and data engineering?

What is the difference between data science and data engineering?

Data science focuses on analyzing and interpreting complex data, while data engineering involves building systems to collect and process that data.

Can you give examples of tasks for each role?

Sure! A data scientist might create predictive models, while a data engineer might design data pipelines to ensure data flows smoothly.

Which role is more in demand right now?

Both roles are in high demand, but data engineering is often seen as critical due to the increasing need for data infrastructure.

What skills are essential for each role?

Data scientists need skills in statistics and machine learning, while data engineers should be proficient in programming and database management.