Critically Reading Scientific Papers
Critically reading scientific papers is critical for Data Scientists working some areas – especially those working in health. With that in mind, here are some… Read More »Critically Reading Scientific Papers
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HowardFriedman
10 things to consider when purchasing business intelligence software
Background: Business intelligence software casts a wide net. Software for site selection, customer segmentation, marketing tests, employee productivity, operational metrics, sentiment analysis, profitability sectors and mapping… Read More »10 things to consider when purchasing business intelligence software
Private Equity and Data Science: Due Diligence Stage
An emerging trend in the private equity space is an enhanced focus on data science. This focus has historically been more on the operations side… Read More »Private Equity and Data Science: Due Diligence Stage
Issues with Random Experiments: Attrition
Continuing my thoughts on random experiments and what can go wrong: Another common problem is Attrition, especially situations where the attrition rate is not randomly… Read More »Issues with Random Experiments: Attrition
Data Science: Lifecycle approach to data-driven value creation
Data science had broad applications across many different industries. If we focus on industries that are in the business of buying (some or all) of… Read More »Data Science: Lifecycle approach to data-driven value creation
Adding Program Evaluation to the Data Science Curriculum
We tried to do XYZ. Did it make a difference?” Whether you are in the for-profit world or the not-for profit world, this is a… Read More »Adding Program Evaluation to the Data Science Curriculum