Data engineers create and maintain data infrastructures that allow data scientists to analyse data. The tools that the two professions use most reflect this different focus.

However, for the other areas of data science, such as data analysis techniques, data prep/engineering, visualization and machine learning, you may be able to develop the needed skills faster.

Learn how to become a data scientist—along with data scientist requirements, salary, job outlook, certifications and data scientist career paths. Today, there’s lots of data out there.

What do data scientists do? According to interviews with more than 30 data scientists, data science is about infrastructure, testing, using machine learning for decision making, and data products.

Data visualisation – creating charts, graphs and other graphics to communicate data in an easy-to-understand way – is a key job responsibility, and data analysts use tools such as Microsoft ...

An online data science master’s degree can prepare you for a lucrative and in-demand career as a data scientist. However, it takes significant time and money to complete graduate school.

St. Jude bioinformaticists created a machine-learning algorithm capable of scaling with these single-cell data repositories to deliver more accurate results. Published in Cell Genomics.  ...

Ford is 'always on the look out' for data scientists. Ford Motor Co. established its Global Data Insights and Analytics team in 2015, said spokesman Said Deep.