You may even call it post-doctorship, as the level is beyond the traditional PhD degree. It is not a degree, not competing with university programs, but instead, akin to ...
Sat across from the interviewer for your dream job, you may start to feel the pressure. A sure-fire way to quash the interview jitters is to prepare as much as possible. ...
Data science is an inter-disciplinary field which contains methods and techniques from fields like statistics, machine learning, Bayesian etc. They all aim to generate sp...
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 very basic question that many people try t...
In the last blog post of this series, we discussed classifiers. The categories of classifiers and how they are evaluated were discussed. We have also discussed regressi...
Great, short visual summary produced by Kirk Borne. Highlights: Computational Ask the right questions Design thinker Willingness to fail Participate in competitions Team ...
Data science is an interdisciplinary field of scientific processes, methods, and systems. It is used to extract insights from data in many forms, either structured or uns...
I’m reposting this blog (with updated graphics) because I still get many questions about the difference between Business Intelligence and Data Science. Hope this bl...
Another question recently posted on social networks. Below is my answer, with link to the original post. The main reason is the exponential growth of data science candi...
If you read my blog then you’ll probably realize there are a few data related topics that I could talk about for days. This blog dives into a tool called RAW Gra...