Why software engineering?

The role of software engineering in data science is covered in great detail hereby Alec Smith (a data science recruiter) and here by Roger Peng (Johns Hopkins University professor and “Mastering Software Development in R Specialization” creator). A quote from the former:

A lot of data science work is software engineering. Not always in the sense of designing robust systems, but simply writing software. A lot of tasks you can automate and if you want to run experiments, you have to write code, and if you can do it fast, it makes a huge difference.

And from the Mastering Software Development in R Specialization page:

As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.

DATA SCIENCE training