Business Analytics VS Data Science
We will talk about two chief technologies that deal with data namely Business Analytics and Data Science. The latter is specific to customer choice, geographical influenc...
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Building Up Stable Data Science Teams
Most of the big organizations are struggling with AI transformation. Data science projects are either taking too long to complete or would never get into production. Am...
DSC Podcast Series: Data Science Fails: The Transparency Sweet Spot
2020 is the year that AI has moved from a science experiment to business as usual. And with the arrival of AI comes the need for AI governance. How do you know that your ...
How to Get Your First Data Science Job: Go Dog Sledding
If you plug “statistics interview questions” into a search engine, you’re going to get hundreds of questions and answers. And if your interview is loomi...
Explaining Data Science to a Non-Data Scientist
Summary: Explaining data science to a non-data scientist isn’t as easy as it sounds. You may know a lot about math, tools, techniques, data, and computer architectu...
For Better or Worse Analytics and Data Science are Converging
Summary: Analytic Platforms are rapidly being augmented with features previously reserved for data scientists. They are presented as easy to use but require substanti...
Five Core Virtues For Data Science And Artificial Intelligence
Virtues should be digitized. As we speed toward reliance on machines to process more and more information and provide cognitive support for all types of decision-making, ...
AI and Data Science Adoption Survey
Experts agree, the global AI, data science and big data markets are poised for significant growth over the next 5 year period. On behalf of Data Science Central and TechT...
Understanding How SQL is Used in Data Science
In the blog about ‘Is SQL Needed to be a Data Scientist?’, we have discussed the importance of SQL and basics of how knowledge of SQL helps with a successful data sci...
Mid-Career Switching into Data Science and Data Engineering
Summary: Mid-career switching into data science is difficult. But if you already have substantial data base experience becoming a Data Engineer can be a great career ...