Final answer:
The two primary areas of expertise attributed to a data scientist are Programming and Statistical Analysis.
Step-by-step explanation:
The areas of expertise attributed to a data scientist are indeed vast, covering a multitude of skills that bridge the gap between the theoretical and the practical. When answering which areas are attributed to a data scientist, we look to the core competencies of the field. Among these, Programming and Statistical Analysis are two of the primary areas of expertise. Programming is essential for data manipulation, data cleaning, and implementing algorithms. On the other hand, Statistical Analysis is the backbone for understanding data and extracting insights through methods like hypothesis testing, regression, and classification.