We expect that data scientists and analysts should be objective and base their conclusions on data. Now while the name of the job implies that “data” is the fundamental material that is used to do their jobs, it is not impossible to lie with it. Quite the opposite – the data scientist is affected by… Read More How to Lie with Data
The rise of the data scientists continues and the social media is filled with success stories – but what about those who fail? There are no cover articles praising the fails of the many data scientists that don’t live up to the hype and don’t meet the needs of their stakeholders. The job of the… Read More Top mistakes data scientists make
“What if we add these variables?..” is a deadly type of a question that can ruin your analytic project. Now, while curiosity is the best friend of a data scientist, there’s a curse that comes with it – some call it analysis paralysis, others – just over-analysis, but I call these situations “analytic rabbit holes”.… Read More How to stay out of analytic rabbit holes: avoiding investigation loops and their traps
We have all read the punchlines – data scientist is the sexiest job, there’s not enough of them and the salaries are very high. The role has been sold so well that the number of data science courses and college programs are growing like crazy. After my previous blog post I have received questions from… Read More How to think like a data scientist to become one
My name is Karolis and I love everything about data – machine learning, getting the “aha” insightful moments, AI, automating the boring stuff and every engineering puzzle I have to solve in my job. I have been working with data and its applications for more than 10 years now. Currently I lead a brilliant data… Read More Hello, World!