Summary: There are an increasing number of larger companies that have truly embraced advanced analytics and deploy fairly large numbers of data scientists. Many of th...
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 a company, then tryi...
In this presentation we will explore how innovative companies are modernizing their tech stack and workflows to allow data scientists to spend more of their time doing a...
The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a f...
This big picture view lays the foundation of our book Data Science for the Internet of Things. (Co-authored by Ajit Jaokar, Jean Jacques Bernard and Sukanya Mandal) We ad...
The list below is a (non-comprehensive) selection of what I believe should be taught first, in data science classes, based on 30 years of business experience. This is a f...
It is crucial to ask the right questions and/or understand the problem, prior to beginning data analysis. Below is a list of 20 questions you need to ask before delving i...
Black hat data science consists of techniques designed to fool existing algorithms (Google search, Amazon rankings, and so on), compromising or tampering with the metrics...
How do you leverage the right data at the right time and then share your business-critical insights with the organization at large? Join us for this webinar and live demo...
R is a well-known and increasingly popular tool in the Data Science field. It is a programming language and a software environment primarily designed for statistical comp...