Lesson guide and textbook for "Data as a Science" course.
A data scientist is a researcher who answers a research question using data, and can lead the development of the research process. They may design the methods to acquire primary or secondary sources of data that inform the research process, monitor and ensure ethical responsibilities, curate the research data and results, or communicate the process and results to stakeholders. Coding is incidental to that process, and it is possible to be a data scientist without programming at all. The course is based on the Sloyd model of technical training. Each lesson is discrete, building on the previous lesson, and provides a functional and holistic understanding of the scientific method as it applies to data. It is not about learning an algorithm and applying it to abstract, arbitrary data. The course has the objective of training complete data scientists, you will learn how research works and apply tools to a specific case-study.
v0.1.4 offers the first four lessons of the first module.