The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday. The picture of the week is from the contribution marked with a +, where you will find the details.
Added by Vincent Granville on August 26, 2015 at 9:30am — No Comments
With an ever-growing number of businesses turning to Big Data and analytics to generate insights, there is a greater need than ever for people with the technical skills to apply analytics to real-world problems.
Computer programming is still at the core of the skillset needed to create algorithms that can crunch through whatever structured or unstructured data is thrown at them. Certain languages have proven themselves…Continue
Data Scientist is the rock star job title of the moment, and why not? There is a huge demand and a very small pool of qualified candidates. And those who get hired are making big six-figure salaries — who wouldn’t want in on that?
But just because you aspire to be a data scientist doesn’t mean you already are qualified to be one. Here are a few…Continue
Companies are directing a lot of resources towards data mining and data analytics. Analysis of big data can help improve a business’s online marketing strategy, since the needs of the customer are better understood, and the…Continue
Added by Jack Dowson on August 25, 2015 at 9:44pm — No Comments
Guest blog by R. Bhargav
What does “Big Data” mean?
The term “big data” is self-explanatory -a collection of extremely big data sets that normal computing techniques cannot process. The term not only refers to the data, but also to…Continue
There are always two aspects to data quality improvement. Data cleansing is the one-off process of tackling the errors within the database, ensuring retrospective anomalies are automatically located and removed. Another term, data maintenance, describes ongoing correction and verification – the process of continual improvement and regular checks.
We have a lot to learn from our colleagues in medical research who use the same statistical tests as we do but on much smaller samples. Hilda Bastian gives us both a good review of the limits of statistical accuracy and always accompanies it with an original…Continue
Added by William Vorhies on August 24, 2015 at 3:24pm — No Comments
Big Data is a big word in the tech world. One look at the highly popular hashtag #BigData reveals how it is gaining increasing credence. There’s a lot of talk about Big Data and how data analytics can help drive and turn around businesses. However, many people and companies are yet to come to terms with what exactly can Big Data deliver for their business.
I remember walking to a major shoe store brand outlet a few years ago. To my surprise, I had to look around and call for someone…Continue
I have never been formally trained on how to deal with seasonality. But I wanted to take a moment to share my perspective based on experience, which I hope readers will find fairly straightforward. Some people use sales revenues in order to evaluate seasonal differences. I find it more desirable to analyze units sold if possible. A price increase resulting in slightly higher revenues does not in itself represent increased demand. Nor should discounted prices leading to reduced revenues…Continue
Added by Don Philip Faithful on August 23, 2015 at 5:19am — No Comments
In part one of this blog post we discussed the traits of people you should try to build in a data science team. Of course technical, statistical, programming and mathematical skills are needed. However, it takes much more. We discussed the following traits: The Pioneer, The Cattle Herder, The Muscle, and The Story Teller. See below for that blog post:
Added by John Thuma on August 22, 2015 at 11:00pm — No Comments
v0.2 of the application.
The analysis and discussion over the last few months on data integrity have finally positioned me to do some basic analysis of the NOAA data. Undoubtedly, as you look through the data in the interactive program below, you will see things that cause you to question the data. If you have the time, and the interest, please go back and read through my earlier posts on …
Added by Randall Shane on August 22, 2015 at 7:00am — No Comments
The congeries of Digital large scale data is growing in every second in the world, it making the changes in technology and organization growth day by day.
"The speed at which people making data is expeditiously outdo our ability to analyze big data," Executive Director of the University College of London's Big Data Institute, Professor Patrick Wolfe, says Business Insider. "The tactics to turn large data flow from a liability into a power." We can say 0.5% of all over data is…
Added by Priyanka Jain on August 22, 2015 at 2:00am — No Comments
The original piece, "THOUGHT FOR FOOD: Analyzing the performance of a leading restaurant chain", appeared originally on the CrowdANALYTIX blog.
The restaurant industry in the US has changed dramatically over the years, and the need to…Continue
Added by Eric Oliveira on August 21, 2015 at 8:30am — No Comments
Guest blog by Fabio Souto
A curated list of awesome data visualizations frameworks, libraries and software. Inspired by awesome-python.Continue
New Big data research methods reveal that the origin of the name and concept of the US Peace Corps might in fact be more sinister than the current 'majority view' story:
Before the invention and popularization of the internet, a perfectly rational case was made to dismiss the veracity of arguments, based upon etymological evidence, that were being used by Professor Loren Eiseley in his efforts to prove that Charles Darwin had committed a research fraud by way of plagiarizing , among…Continue
Good customer service data help organizations improve quickly. How does the organization ensure the data is smart enough to take action. In spite of the tools available to make it smart, the quality of the data is dependent on the customer. He or she has to feel confident enough in the experience of the product before supplying the vital information. The experience generates a multitude of emotions, ranging from complete satisfaction to disgust. They are embedded in data, but…Continue
Added by Salil Sheth on August 21, 2015 at 4:01am — No Comments
Behind every successful person, there is tons of coffee.
Successful or not or on way to success, coffee is the beverage of choice for many of us. Today a coffee drinker faces a ‘choice overload’ problem – there are too many varieties, blends, and roasts to choose from. Is there a way to simplify this problem? How can data science help us to streamline our choices without sacrificing individual preferences?
Data science refers to knowledge discovery from large volumes of…Continue
Added by Kolabtree on August 20, 2015 at 10:00pm — No Comments
The Data Science Conference (Chicago, November 12-13, 2015).
The first and only vendor-free, sponsor-free, and recruiter-free Data Science conference.
We wanted to keep you in the…Continue
Added by Michael Tsiappoutas on August 20, 2015 at 2:33am — No Comments
I am currently doing my PhD at UTS in Information Systems.
Please go to www.datamilk.com/survey to participate in a short simulation which tests your attitude towards a market in which individuals are financially compensated for granting access to the valuable personal data they generate as they go about their daily…
Added by rwfarrelly on August 19, 2015 at 9:30pm — No Comments