Team

Ebola, COVID-19 and Data Science Process Training

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The following is an interview by Jeff Saltz with Dr Thibaut Jombart (who is a certified DSPA Team Lead). Thibaut is an Associate Professor in Outbreak Analytics at the London School of Hygiene and Tropical  / Imperial College London (LSHTM / ICL) He is also a Senior Data Scientist for the World Health Organization (WHO).  […]

Team

Managing AI projects: 6 Concepts to Help Lead an AI Team

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The importance of AI project management is highlighted by a survey showing that 85% of AI projects do not deliver on their promises to business. In other words, as noted by Forbes, most AI projects fail. An AI project is different than a typical software development project, and hence, managing an AI project is different […]

Team

Data Analyst vs Data Scientist

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data analyst vs data scientist

As organizations continue to expand their data analysis competencies, the data science function is becoming more of a team sport with numerous team roles within the data science group. Of all these roles, the difference between the data analyst and data scientist role is perhaps the most confusing. Indeed, the roles have similar responsibilities. Data […]

Coordination Framework

Project Management for Data Analytics

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This post will explore managing analytics projects by focusing on three questions: What is the difference between a data scientist and a data analyst? What is the difference between analytics projects and data science projects? What project management / project coordination framework might be helpful to manage analytics projects? Project Management Training for Data Analytics […]

Workflow

What is a Data Science Life Cycle?

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data science life cycle

A data science life cycle is an iterative set of steps you take to deliver a data science project or product. Because every data science project and team are different, every specific data science life cycle is different. However, most data science projects tend to flow through the same general life cycle. With help from […]

Uncategorized

Managing Machine Learning Projects

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Machine Learning Project Management is of growing importance If you are leading machine learning projects, you have probably noticed (or soon will notice) that machine learning project management is of growing importance and that it would be extremely helpful to have a repeatable agile process framework that helps to ensure the team can generate useful […]

Team

How to Lead Data Science Teams

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leading data science teams

It’s an understatement that great leadership is challenging and rare. And leading data science teams has unique challenges: Stakeholders might get disillusioned by your team’s inability to deliver magic The battle to recruit and retain data science talent is fierce Data science’s ethical dilemmas are particularly perplexing There is not an agreed-upon process for managing […]

Workflow

What is a Data Science Workflow?

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A data science workflow defines the phases (or steps) in a data science project. Using a well-defined data science workflow is useful in that it provides a simple way to remind all data science team members of the work to be done to do a data science project. One way to think about the benefit […]