For this final post, we are going to dive deeper into the weeds of the positive tips and tricks for staying sane in an ethically-questionable world. Or rather, what I personally do to try to stay grounded in what I believe is ethical and moral.
In this post we’ll delve into the data science portion of “Ethics in Data Science”. We’ll look at our current system of self-regulation, possible models of external regulation, and the implications for ethical data scientists. This is the second in a series. If you haven’t already, catch up and read part one. Uncle Bob’s talk Robert… Read more
How much time did you invest in your machine learning model? There’s a chance that your results are horribly skewed. If a data scientist doesn’t pay attention to random seeds they could be negating all their work.
As a Los Angeles resident for 7 years I’ve sat in more than my fair share of gridlock. That dead stopped line of cars seemingly regardless of time of day or day of week. As a result, when I stumbled upon a traffic collision data set maintained by the city of Los Angeles I put my data analytics training into action.
If you answered yes to all of the below, you should switch to time series analysis; Does your business of work with humans? Would you like to understand them? Influence them? Do you use data for that? Most people in the business of serving humans or crunching data will need to consider where their analytics… Read more
Do you think all the responses in that survey of yours are equal in value? Think again. Read on to find how your survey responses fail and how it will affect in your data analysis. A screenshot showing a glimpse of data in a real employee engagement survey. Check out the picture above. The picture… Read more
Business growth is easier with more than one metric. Trying to apply the “One Metric That Matters” (OMTM) to a company you wish to be successful is a myopic recipe for failure. Instead, you must use a collection of metrics to provide a realistic assessment.
Companies require more than one metric to succeed. Have you heard of the “one metric that matters” (OMTM)? This concept was first introduced to me through the book Lean Analytics, by Alistair Croll and Ben Yoskovitz. I have a lot of respect for Ben and Alistair. I’m a proud owner of two copies of Lean… Read more
TL;DR: Because of printers and colorblindness the color palette of your chart, graph, or data visualization must work in grayscale. While we analytics nuts were conducting research on color schemes most appropriate for a data visualization for one of our clients, I happened to enter the phrase, “colors to use in charts” into Google. At… Read more