A field manual for doing effective data science
My Latest Posts
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- How to Make Progress As A Data ScientistThis post is about what it takes to make progress for your team/company as a data scientist. Making progress in any professional field, including in data science, is not the…More
- Data Science Management Principle 1: Do What’s Right For Your PeopleFor first time Data Science managers, many may have the impression that proving their technical leadership is the most important aspect of leadership. This is a wrong view. The most…More
- How to Scope a New Data Science Hire’s RoleMake a list of things you would like to do, but haven’t had time to do. Don’t just include things you didn’t want to do, because this new hire probably…More
- How to Write a Data Scientist Perf Self-AssessmentSelf-assessments during Perf cycles are necessary but not fun. Here is a breakdown of steps for data scientists to write their effective self-assessments. Step 0: Keep track of accomplishments and…More
- Applying Occam’s Razor to Developing Business and Model MetricsMetrics are used to align an organization or team towards a shared goal and to track progress towards that goal. A successful metric is one that helps to inspire and…More
- Data Science and The Booth at the EndA while back there was a show called “The Booth at the End”. The premise of the show is that there is a man who sits in a booth at…More
- Data Science Presentation TipsThe First Two Slides Are 80% of Your Talk Summarized from https://www.brown.edu/Research/Shapiro/pdfs/applied_micro_slides.pdf Assume that your audience does not care about your topic. Spend the first 2 slides convincing them otherwise.…More
- How to Stay Sharp in Data Science: Establish a Training RegimenData science is an enormous and growing field. Over time in a data science career, it becomes hard to stay sharp on all areas. Everyone has their own reasons, but…More
- How to Present a Technical Data Science Topic to an Exec-level AudienceData scientists are often called on to present their work to non-technical exec-level audiences. For example, you may be asked to present at a weekly VP meeting that hosts speakers…More
- How to Choose Great Data Science Projects: Focus on the ObviousThere are many factors that could be used to help decide which data science projects to prioritize. In this post, I share a simple principle that I have seen work…More
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Data Science Principles 