Code-First Data Science

In this webinar, we’ll explain why a modern enterprise needs code-first data science and how it fits in with your organization’s other investments.

As a data scientist or a leader of a data science team, you are probably well aware of the power and flexibility that open-source data science, based on R and Python, provides you and your team. However, your team probably exists within a typical enterprise, which has a wide variety of analytic tools, including self-service BI, point-and-click data science tools, and R and Python. Navigating this landscape, and convincing others in your organization of the value of open-source data science can be challenging.

In this webinar, we will explain why a modern enterprise needs code-first data science and how it fits in with your organization’s other investments. We’ll cover the following:

• • Serious Data Science: based on open source R and Python, code-first, and centralized on-prem or in the cloud for ease of access, scalability, and management.
  • The Power of Code: reusable, extensible, reproducible, and inspectable data science.
  • Interoperability: how code-first data science complements and helps your organization take better advantage of all its analytic investments, including mixed teams of R and Python data scientists, a wide variety of data sources, BI tools, and job management clusters such as Kubernetes and Slurm.

After this webinar, you will have the tools to be an advocate in your organization for the value of R and Python data science, scaled and operationalized by Posit’s Pro Products.