Data science teams often support diverse projects and requests within their organization. As the team grows and tackles more complex projects, software and infrastructure challenges arise in delivering value efficiently and maintaining it in the long run. We will walk through building a data science platform step-by-step, from the ground up, starting with a single data scientist and scaling to a full team handling multiple projects. By zeroing in on the emerging pain points, we ensure the platform remains lean, addressing only what’s needed, and making every investment in the platform count.
Technical Level: Introductory level/students (some technical knowledge needed)
Supported by
