Data science is the ‘digital’ form of applied statistics. When we say ‘digital’, we refer to the concept of applying statistical techniques in terms of human-readable, computer code; that is, statistics, not written on traditional paper & pen, but…
With the innumerable amounts of data generated in the technology era, data scientists have become an increasingly needed vocation. The US just named its first Chief Data Scientist and all the top companies are hiring their own. Yet due to the novelty of this profession, many are not entirely aware of the many career possibilities that come with being a data scientist. Those in the field can look forward to a promising career and excellent compensation. To learn more about what you can do…Continue
Medicine makes progress as a field through large-scale study and experimentation, much of which involves retrospective work with data or research into specific medical cases. This creates a few challenges, however; specifically, such research often demands impossibly large data sets. Tackling this amount of information takes specially designed technology.
In addition to the technical difficulties of research, any work with patient data is subject to regulation under HIPAA, including…Continue
Today’s biggest cybersecurity challenge is malware. Malware are malicious programs designed to compromise systems and exfiltrate sensitive information from organizations.
Traditional defenses like firewalls, intrusion detection systems,…Continue
Monday newsletter published by Data Science Central. Previous editions can be found here.
Added by Vincent Granville on June 4, 2016 at 9:30am — No Comments
We recently posted a challenge: creating data videos. You can check the challenge here, including training material and data to produce these videos, with open source software, and in particular with R. Here we provide the solution (including the video) produced by one of the participants. Other solutions from other participants will soon be posted as well. Our full list of…Continue
Added by Vincent Granville on June 4, 2016 at 9:10am — No Comments
The City and County of San Francisco had launched an official open data portal called SF OpenData in 2009 as a product of its official open data program, DataSF. The portal contains hundreds of city datasets for use by developers, analysts, residents and more. Under the category of Public Safety, the portal contains the list of SFPD Incidents since Jan 1, 2003.
Added by Vimal Natarajan on June 4, 2016 at 5:09am — No Comments
Life scientists often struggle to normalize non-parametric data or ignore normalization prior to data analysis. Based on statistical principles, logarithmic, square-root and arcsine transformations are commonly adopted to normalize non-parametric data for parametric tests. Several other transformations are also available for normalizing data. However, for many, identification of right transformation for non-parametric data is a tricky job. The objective of this paper is to develop a SAS…Continue
Added by Venu Perla PhD on June 3, 2016 at 6:00pm — No Comments
This article was written by Baiju NT. Baiju NT is the editor and driving force of Big Data Made Simple. He is also a media professional, photographer, designer, philosopher, fitness freak and a basketball coach.
Baiju NT illustrates in his article a collection of Dilbert’s 20 funniest cartoons on Big Data, data mining, data privacy, data security, data accuracy.
Dilbert is an American comic…
Added by Emmanuelle Rieuf on June 3, 2016 at 1:30pm — No Comments
More and more businesses are waking up to the threat of poor data quality. We’re gradually seeing the risk being taken more seriously as the shockwaves of poor management are felt.
Yet for many businesses, data quality is seen as an abstract concept; difficult to understand, and impossible to…Continue
Added by Martin Doyle on June 3, 2016 at 3:00am — No Comments
Before moving on to Codeception and PHP, we should cover the basics and start by explaining why we need testing in applications in the first place. Perhaps we could complete a project without wasting time on tests, at least this time?
Sure, you don’t need tests for everything; for example, when you want to build yet another homepage. You probably don’t need tests when your project contains static pages…Continue
It has been estimated that the Internet of Things (IoT) will contain 26 billion devices by 2020 (according to Gartner, Inc.), while Cisco’s CEO puts the commercial opportunity from these devices to reach $19 trillion. But behind the glorious financial opportunities is a new community of data, and a complex testing challenge to help support those devices. Usually, IoT is categorized based…Continue
Added by Manoj on June 2, 2016 at 8:30pm — No Comments
The full article about 51 expert tips for learning big data analytics was written by Molly Galetto. You can find 4 sections in this article.
Big data is everywhere, and small businesses and enterprises alike are making strides in transforming business outcomes through effective big data analytics. For today’s marketing and IT professionals, big data analytics is rapidly becoming an essential yet multi-faceted skill, and those who master big data analytics play a critical role in…Continue
Added by Emmanuelle Rieuf on June 2, 2016 at 5:00pm — No Comments
This list of Data Science tools for people who aren’t so good at Programming was compiled by Aarshay Jain, from Analytics Vidhya.
Programming is an integral part of data science. Among other things, it is considered that a mind which understands programming logic, loops, and functions has higher chances of becoming a successful data scientist. So, what about people who never studied programming subject in their school or college ?
In 2014, President Obama tasked John Podesta to lead a working group on Big Data. The first report provided a brief on data trends, with a focus on privacy concerns in particular Big Data: Seizing Opportunities, Preserving Values.. The second report was published in May 2016 …
Added by Michael Bryan on June 2, 2016 at 2:30pm — No Comments
This article on a complete tutorial to learn Data Science in R from scratch, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can change this world. R, Data Science and Machine Learning keep him busy.
R is a powerful language used widely for data analysis and statistical computing. It was developed in early 90s. Since then, endless efforts have been made to improve R’s user interface. The journey of R language…Continue
Added by Emmanuelle Rieuf on June 2, 2016 at 2:00pm — No Comments
Bill Vorhies is Editorial Director for DataScienceCentral, and President and Chief Data Scientist at Data-Magnum, providing predictive analytics and big data infrastructure projects as a service. Bill has been an active commercial predictive modeler since 2001.
Below, you will find a selection of his articles posted in the last two years. To check out his most recent…Continue
Added by Vincent Granville on June 2, 2016 at 9:00am — No Comments