Streamline Your Data Science with Namara
We’ve written a lot about finding and preparing data lately. But that’s only the beginning when it comes to extracting value from it. When organizations begin flowing...
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DSC Webinar Series: How to Accelerate and Scale Your Data Science Workflows
Data scientists are faced with requests for information on a regular basis—from our colleagues, our bosses, or our clients. At the beginning of the analytic process, it...
The Most Important Aspects of a Data Science Career
Often touted as one of the top jobs of the 21st century, a data scientist is an increasingly common requirement across firms of different sizes and from a variety of vert...
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...
The Problem with Data Science Interviews
The messiest job of the 21st century The interview process is likely the most daunting task a data scientist will face in their career. The pressure and competition to ...
DSC Webinar Series: Collaborative Data Science at Pfizer
The value of data science multiplies when it is used and applied across the organization. Successful data science should impact the business — and that requires data sc...
Statistics Used in Data Science (A Dictionary in One Picture)
Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions is that ...
Leveraging Data Science to Create a COVID-19 At-Risk Score
Everyone wants to restart the economy safely. Everyone. The question isn’t “if”, it’s “when” and “how” and somehow that’s when politics gets involve...
Data Science for analytical minds | Introduction
Introduction to 5-part practical guide on becoming a data scientist. Are you someone who: Has studied concepts of statistics, econometrics or mathematics? Loves reasoning...
Data Science is Changing the World for the Better: Here’s How
Data science, by definition, is an interdisciplinary field which makes use of scientific processes, methods, systems, and algorithms for extracting insights and knowledge...