Introducing Notebooks: A Power Tool for Data Scientists

Data exploration and analysis is a repetitive, iterative process, but in order to meet business demands, data scientists do not always have the luxury of long development cycles. What if data scientists could answer bigger and tougher questions faster?

Leading companies are disrupting markets using data science — and they are doing it in agile and fast-moving environments. The pressure to be this responsive gets passed to experts with deep analytical skills, most notably the data scientist.

Use of a notebook speeds up the process of trying out data models and frameworks and testing hypotheses, enabling the data science team and their business counterparts to work quickly, iteratively and collaboratively.