Agile

Data Science vs. Software Engineering

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Data science and software engineering are similar in many ways. However, dig deeper, and you’ll find key differences in their type of work, in the professionals working in these fields, and how they execute their projects. Data Science vs. Software Engineering Fields What is Data science? If you ask five data scientists to define data […]

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3 Steps to Define an Effective Data Science Process

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In this article, I’ll explore how to create a well-defined data science process. Specifically, I’ll explain how a team’s data science process is comprised of (1) a team’s data science life cycle framework (i.e., the team’s data science process workflow), (2) a team’s coordination framework, and (3) the integration of these two frameworks. Data Science […]

Emerging

10 Ways to Manage a Data Science Project – Part IV: Emerging Approaches

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So are there new emerging approaches that are data science native? Microsoft’s Team Data Science Process (TDSP), Domino Data Lab’s Data Science Life Cycle, and the Data Science Process Alliance’s Data Driven Scrum (DDS) are approaches that are both data science native and agile. There are pros and cons specific to each approach but they share some fundamental principles.

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The Rise of Data Science Project Management

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Sunrise

It is ironic that data science, a field built upon rigorous scientific methodologies, has been slow to adopt much rigor from project management approaches. Rather, in data science, project management tends to be ad hoc and is often on the back-burner as a secondary consideration to technologies and algorithms. Fortunately, this is changing as organizations […]