Guest blog post by Mike Davie.
For many companies going down the big data path, collecting data for its own sake has been a costly exercise with varying degrees of ROI.
Historic data is great for understanding past events, but as companies mature, their big data efforts move to become more central to business operations: from…Continue
Added by Vincent Granville on April 24, 2015 at 9:36am — No Comments
As part of a deeper dive into domain specific analytic careers, we are exploring the Insurance industry. The below data & charts gives context & explains the opportunities for an analytics careers in Insurance.
Our first examination involved analyzing the top insurance companies hiring for analytics related positions. The below chart shows the open job postings where the title was “Data Science” or “Analytics” or “Actuary” & plural or related word. We found a total of 185…Continue
Added by Vozag on April 24, 2015 at 1:44am — No Comments
Analytics is becoming critical in all part of our lives. Biostatistics has been a big driver of this analytics demand in the field of pharmaceuticals, biotech, health & medicine.
But, What is Biostatistics? From the Wikipedia definition of Biostatistics:
Biostatistics (or biometry) is the application of statistics to a wide range of topics in biology. The science of biostatistics encompasses the design of biological…Continue
Added by Pansop on April 24, 2015 at 1:00am — No Comments
It is the tragedy of the 21st century! Terrorism has become big business to some blood thirsty tyrants who would stop at nothing to use human beings as collateral in their quest for more resources.
The Islamic State, Al-Qaeda, Al-Shabaab, Boko-Haram...the list is endless. They are found all over the globe. Their objective is to kill, to steal and to destroy. Therefore, their master can only be what you and I can rightfully guess at the slightest instance.…Continue
Added by Christopher Alvin Mokaya on April 24, 2015 at 12:30am — No Comments
Photo: Big Bang Data, Madrid, April 2015
Let's keep it simple. The best application of Big Data is in systems and methods that will significantly reduce the Big Data footprint.
Why would we want to reduce the Big Data…Continue
Added by Martyn Jones on April 23, 2015 at 11:10pm — No Comments
What is the profession of data science really about? How does one best become a data scientist or grow a career as one? What does the Data Science Central community think about these questions? (Please chime in!)
We’ve all read about the shortage of data scientists from McKinsey, heard about…Continue
Added by Sarah Aerni on April 23, 2015 at 6:30pm — No Comments
Very interesting list of algorithm, data science, machine learning, and computer science keywords. To check the definition for any keyword, go to xlinux.nist.gov. For whatever reasons, and like in many similar lists, the top three letters have more entries than subsequent letters, as if the editor suddenly became lazy when hitting letter D (maybe product developers create products that start with letter A, B, or C, to show up at the…Continue
Added by Mirko Krivanek on April 23, 2015 at 5:00pm — No Comments
The key asset of any company is its customers. It is therefore very important to identify their needs and preferences as well as to know the factors affecting their behavior. The collected customer data allows predicting customer behavior and creating appropriate marketing offers, sales plans, and retention programs that match customers’ needs.
Data mining tools are used to create models that predict customer behavior by using historical data. These methods can be…Continue
Added by Algolytics on April 23, 2015 at 5:00pm — No Comments
Broken down in eight categories.
1. Algorithms and Data Structures
Added by Mirko Krivanek on April 23, 2015 at 12:30pm — No Comments
Photo Credit: Morgan Sessions
When Jeff our architect first ran the benchmark I could not believe it! I was sitting in front of the terminal screen trying to take in what I had just seen. “Jeff is this correct?!” I asked. “Yep!” he said grinning. I had patiently waited 588 seconds (close to 10 minutes)…Continue
Added by Titus Blair on April 23, 2015 at 9:30am — No Comments
We are living in a world dominated by data. Data overload and fatigue is drowning most corporations and individuals. There was a time when we had an opinion and we would speak our mind to our friends and families. Now we instantaneously write our minds on Facebook, Instagram, Twitter and LinkedIn. Everyone has a strong opinion and we don't hesitate to take our opinions public. In the last five years, we have generated as much as data as we have never done…Continue
Added by Rupen Shah on April 23, 2015 at 7:30am — No Comments
Retailers know they need Big Data and are charging forward to get in the game. But many retailers continue to face challenges. What type of data should be collected? How should the data be used to generate insights? How do I measure ROI?
101data recently surveyed US retailers, across a range of sizes. When asked about which processes would be most impacted by Big Data technology, 50% stated that targeted offers and promotions would have the biggest…Continue
Added by Larisa Bedgood on April 23, 2015 at 7:30am — No Comments
Added by Khosrow Hassibi on April 22, 2015 at 11:00am — No Comments
Creating interactive visualizations of your data for web is a cakewalk using silk.co, all you need to do is to import your spreadsheet and start generating your interactive visualizations
You need to sign in to start creating visualizations on silk.co. If you dont have an account, signing up is easy. All you need is a name, an email id and a password, and the account is created immediately
Add your data…Continue
RethinkDB is an open source noSQL database that stores JSON documents. This can be great for open ended data analytics. The company officially provides drivers for Ruby, Python and NodeJS and community supported drivers and ORMs are available in around a dozen languages.
The production ready version 2.0 was released very recently on April…Continue
Added by Pansop on April 21, 2015 at 2:30am — No Comments
The full version is always published Monday. Starred articles are new additions or updated content, posted between Thursday and Sunday.
Added by Vincent Granville on April 20, 2015 at 9:30am — No Comments
It’s happened to all of us sooner or later: The hypothesis seemed plausible, the data was clean, the conclusions sound. Our recommendation was damn near foolproof. Yet when put into practice, the result was anything but favorable.
How could that happen? Data science is about, well, DATA. And science, which implies a reliable method. We have the information, we have the models, we aren’t just shooting in the dark here. Where did it go wrong?
The truth is there are lots of things…Continue
Most of us would probably like to work in a profession recognised for its legality, decency and honesty. At least I hope so. In my line of work, what we have right now is palpable evidence that the IT industry lacks a reliable moral compass.
Imagine this. A major sensationalist tabloid pulls…Continue
Added by Martyn Jones on April 19, 2015 at 10:30pm — No Comments
This was a great question posted on Quora.com, and attracted many comments. Here we summarize the must interesting contributions for you.
Source for picture: …Continue
Many data set resources have been published on DSC, both big and little data. Some associated with our data science apprenticeship. A list can be found here. Below is a repository published on Github, originally posted here. …Continue