In “Thinking Like a Data Scientist Part I: Understanding Where To Start”, we examined the challenges for getting the business users to think like data scientists when contemplating where and how to […]
Picking up from where we left off in Big Data Glossary – Part 1, here is a list of some more of the big data terminologies simplified: 16. Legacy System – In the context […]
One question I frequently get is: “How do I become a data scientist?” Wow, tough question. There are several new books that outline the different skills, capabilities and technologies that a data […]
The big data analytics space is evolving at a tremendous speed, so is the terminology used in the space. This terminology is sometimes really hard to understand. Here is a list of […]
Business intelligence analysts, marketers, and analytics mavens use many tools and techniques to extract useful information from all the meaningful data people generate every moment in every aspect of life. I work […]
The determination of what is considered a good model depends on the particular interests of the organization and is specified as the business success criterion. The business success criterion needs to be […]
“If two or more quantities vary in sympathy so that movements in one tend to be accompanied by corresponding movement in the other(s), then they are said to be correlated” – Conner. […]
Which top Masters Courses should you consider for a great career in data-science? A frequently cited study by McKinsey predicts that by 2018, the United States could face a shortage of 140,000 […]
Congratulations, recent college graduate, and welcome to the workforce! Of all the jobs that you’ll apply for, the one with the sexy title “data scientist” may be the toughest to get–and potentially […]
Source: aureusanalytics.com Link: All about Data Lakes
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