This chapter discusses some fundamentals of the course and the technology we’ll be using.
After completing this chapter, you should be able to:
explain what data science is
explain the relevance of data science to neuroscience
distinguish between front-end and back-end aspects of data science
explain the value of teamwork in doing data science
explain the value of scientific programming languages and their advantages over manual data analysis workflows
demonstrate awareness of a range of languages used in data science, especially neuroscience, and explain considerations for choosing a language for a particular task