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Data Science and Perspectives

There are two major perspectives of Data Science we can look at:

- Consumer/User Perspective

- Data Scientist’s Perspective

This article explores these two areas to ponder upon in little more depth.

- Consumer/User Perspective (User will not like “noise”)

A single user/consumer might need some analysis to either start some study or make some decisions. This single user might be a CIO/CTO or perhaps we can also say that this single user is a group of decision…

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Added by Atif Farid Mohammad on June 11, 2013 at 10:40am — No Comments

How to detect three types of hidden data, to eliminate opportunity costs

Your data is like Gruyere. It has holes. Big holes, sometimes the empty space occupies a bigger volume than the data itself - just like dark matter is more abundant than visible matter in the universe. This article is not about shallow or sparse data, but instead about data that you do not see, that you do not know even exist, and yet, data that contains better actionable nuggets than anything in your…

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Added by Vincent Granville on June 10, 2013 at 1:00pm — 1 Comment

Data scientists dictate what we eat

Indirectly of course. There are other factors too, such as regulations which make it illegal to sell un-pasteurized milk, horse meat, foie gras, etc., but the biggest factor influencing what the average American eats is the margin the grocery store makes on the products it sells. This explains why you can't get redcurrants or passion fruits anymore, but you'll find plenty of high energy drinks and food rich in sugar…

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Added by Mirko Krivanek on June 8, 2013 at 12:00pm — 2 Comments

Predictive Modeling is Useless!

If you’re a modeler, you might say, “who the heck is this guy telling me that my precious thing is useless?” Wait a minute. I will explain later. If you’re new to this, let me tell you what predictive modeling is: It is the power to predict the future. Like a prophecy, except its using data, lots of them. Sounds cool? Yes, but it’s useless. Sad? Me too. I’m also a modeler.



Let me tell you a story. Once upon a time, I was preaching in front of senior management on how we could get… Continue

Added by Eka Aulia on June 6, 2013 at 10:05pm — 1 Comment

Data Scientists Sometimes Fool Themselves

The easiest person in the world to fool is yourself. Data scientists sometimes fool themselves - in matters trivial and important. Thus, I strongly suggest that we acknowledge real or subconscious biases in ourselves, the data, the analysis and group think. It is prudent for data science teams to have…

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Added by Michael Walker on June 6, 2013 at 12:11pm — No Comments

SAS Dominates Analytics Job Market?

Bob Muenchen's very useful work on this topic, SAS Dominates Analytics Job Market; R up 42% sent me back to some 2012 work we did at Statistics.com on the subject of what employers are looking for in the way of analytics skills.  First, our main results:

1.  Our numbers showed a much less SAS-dominant world:  1.92 SAS jobs for every R job.  Bob had found the ratio to…

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Added by Peter Bruce on June 6, 2013 at 10:15am — 6 Comments

Join the Data Science Revolution with Alpine

Recently named by Business Insider as one of the Big Data startups to watch, Alpine Data Labs is experiencing massive growth and is currently on a hiring spree, looking for top talent. Alpine is hiring solution architects, software engineers, data scientists, marketing & sales pros, and technical support engineers. Send your resume and a note to [email protected]

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Added by Vincent Granville on June 6, 2013 at 9:30am — 4 Comments

3 min Healthcare Big Data Video

We have tried to synthesize the most disruptive big data use cases into a compact . 3 Minute video

at https://www.youtube.com/watch?v=UWPUxLr-u9k

 

It covers 6 use cases , 4 healthcare data streams and hopefully sets the stage for curating more use cases in an area which truly needs a lot of healthy transformations !!!

Added by derick.jose on June 5, 2013 at 10:20am — No Comments

Job titles for data scientists

I looked at the job titles of my 7,500 LinkedIn connections, and found about 4,900 unique job titles. The vast majority of my connections work in data science or some analytic field. Some very popular job titles do not contain an analytic keyword: for instance CEO, Consultant, Founder. My own job titles - Co-Founder, Managing Partner - fall in this category despite the fact that among other things and foremost, I am…

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Added by Vincent Granville on June 3, 2013 at 9:00pm — 11 Comments

My caddie just joined Mensa- Designing Golf through big data

“Golf is deceptively simple and endlessly complicated”

Published: March 15, 2013

Yvonne Buysman, Sports & Fitness Fellow for The (ART+DATA) Institute helps us understand how the data helps design a better round of golf. Her writing reveals the effect of an instant feedback loop in golf .…

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Added by Zach Piester on May 31, 2013 at 4:18am — No Comments

Statistics is Dead - Long Live Statistics!

As data science evolves into a separate and distinct scientific and business discipline, there is talk about the death of traditional statistics. It is true that today's large data sets are unlike the ones we analyzed in graduate statistics classes. It is also true that big data…

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Added by Michael Walker on May 30, 2013 at 5:00pm — 1 Comment

Data Science projects billed $300/hour on Kaggle

Below is information found today on Kaggle. This flat rate applies regardless of the consultant's age - but only the "best" data scientists are allowed to work on business projects posted by campanies like us (we are going to submit a very interesting project next week). Yet, not sure how much the data scientists are…

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Added by Vincent Granville on May 29, 2013 at 8:30pm — 4 Comments

SAS Dominates Analytics Job Market; R up 42%

By .

Here's the two main charts.…

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Added by Vincent Granville on May 29, 2013 at 6:30am — 2 Comments

Universities Offering Business Intelligence and Analytics

Source: www.statslice.com/university-report. They will add updates to the report as they get additional feedback.

Please email them at [email protected] to provide updates or additions.…

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Added by Mirko Krivanek on May 25, 2013 at 7:00am — 1 Comment

Prognosis of actions due to analysis of personal movements and actions in massive multi-user (3D) environments

During analysis of movements of individuals in public places, there are only two dimensions that can represent movement of an individual, shown via data saved between starting and end point, even incorporating elevators and stairs to different (shop) levels). That is a multi-linear way of looking at movements of individuals in crowds in a specific environment. Most big shopping corporates use these kinds of analysis methods.

But what if (like in 3D environments) movement can be up and…

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Added by Emmanuel P. Gruijs on May 24, 2013 at 3:14am — No Comments

Weekly Digest - May 27

Sponsored Announcement

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Added by Vincent Granville on May 23, 2013 at 7:30am — No Comments

Data Scientist Demographics

The graphs below show demographics for two popular but totally unrelated analytic websites. The demographics are strikingly similar.

USA is still the #1 country by far. Visitors from India spend more time on the site. Although you can't tell from these charts, US visitors tend to have more senior / manager roles, while in India…

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Added by Mirko Krivanek on May 22, 2013 at 7:00pm — No Comments

Analytics and the Indian Market- Good things ahead

Data is being collected everywhere around us. This data is analyzed and used to impact B2C and B2B markets in traditional and nontraditional sectors in ways we never imagined. Indeed Analytics has proven itself to be an essential tool for any organization, influencing every decision and impacting every stakeholder.

But what exactly does this big Analytics boom mean for India specifically? Well the outlook is extremely bright and here is just why:

We Have The…

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Added by Gaurav Vohra on May 21, 2013 at 6:09am — No Comments

Data Science eBook by Analyticbridge - 2nd Edition

This 2nd edition has more than 200 pages of pure data science, far more than the first edition. This new version of our very popular book will soon be available for download: we will make an announcement when it is officially published.

New…

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Added by Vincent Granville on May 19, 2013 at 5:00pm — 7 Comments

Smart Data Scientists Virtualize Data

Smart data scientists use data virtualization to integrate data from many diverse sources - logically and virtualized for on-demand consumption by different data analytical applications. For example, data virtualization is used to address challenges such as rogue data marts, business…
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Added by Michael Walker on May 16, 2013 at 6:30pm — 2 Comments

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