However, although Data Science and Data Analysis share the same end goal, the paths to achieving said goal differ to some extent. Several key differences separate the job profile of a data analyst ...

The key difference between data analysis and data science is that the former primarily looks to interpret existing data, while the latter involves creating new ways of doing so.

Data analysis: Once data is cleaned, it is analyzed to look for data patterns, trends and relationships. Analysts should try to spot opportunities and risks in the data at this time.