Regular AllAnalytics.com readers and professional statisticians may well remember that with the year 2013 comes a global celebration of statistics. So if you're a number cruncher or data guru and you haven't given yourself a boo-ya! lately, you definitely deserve one.
Love may be known for making the world go 'round, but statistical science is what's keeping the improvements coming. If you have any doubt, watch this video on how statistics is improving human welfare:
And dig into this report Deloitte prepared for the Engineering and Physical Sciences Research Council, a UK government agency, on the economic benefits of mathematical science research (MSR) in the UK. For the study, Deloitte said it looked qualitatively at the ways in which MSR influenced economic performance in the UK and then quantified the economic value of MSR in terms of direct employment supported and GVA (gross value added) generated in 2010.
Qualitatively, no one here should be surprised to read that statistical science helps us "make sense of data and better understand the world; safeguard society; and forecast, address uncertainty, and optimize processes." But how could we have known that the field provided jobs for approximately 2.8 million employees (around 10 percent of all jobs in the UK) and contributed about $338 billion in terms of GVA (around 16 percent of total UK GVA), as Deloitte noted in the report? Makes me want to know the same sorts of measures for the US and elsewhere.
You can find each of these resources, as well as many others, at www.statistics2013.org, a special site established to celebrate the International Year of Statistics. As I've written previously, five statistical societies, including the American Statistical Association (ASA), led the creation of the International Year of Statistics, a "worldwide celebration and recognition of the contributions of statistical science." The site is a great resource, not only for statisticians themselves but for those involved in educating those folks who will be responsible for handling the massive amount of data the world generates today and into the future.
That talent issue, once again, rears its head. In an earlier email interview, ASA board member Ron Wasserstein, who also joined AllAnalytics.com for a December e-chat on Statistics2013, cited this as a primary impetus behind the initiative: "the realization that we are not training enough people to have the expertise needed in the world to take advantage of the opportunities of the Age of Big Data." During the e-chat he noted, "statistics is very misunderstood because it is a science that also has as its name one of its concepts. So statistics with a small 's' gets confused with statistics with a capital 'S'. But also it has often been taught poorly, which leaves a bad taste."
From my early perusal of Statistics2013.org, I'd say the folks behind this initiative are working quite hard at making statistics approachable -- fun, even. You can find:
A statistic of the day
Posters to download
Contests to enter
Links to statisticians in the news
And the list goes on. Stop by Statistics2013.org and let us know what you think. Do you have reason to celebrate your role in working with data?
Statistical science would be an upcoming career choice I would image for lots of students. Number analysis can only be a booming field for those of that bent. With increasing stats available it's going to take some smart folks to make sense of just what's relevant and just what's just a curiosity for now.
It just goes to show that we are in the information age. Hopefully this video and organizations will help encourage others to study statistics! There are so many way stats can be applied and it is not the boring number crunching that some people may think it is.
... how could we have known that the field provided jobs for approximately 2.8 million employees (around 10 percent of all jobs in the UK) and contributed about $338 billion in terms of GVA (around 16 percent of total UK GVA)...?
The UK has been suffering terribly under the Tories' interminable austerity program, so I'd say, especially under those conditions, anything that provides jobs for 2.8 million Britons is worth celebrating.
Are they serious? 10% of UK jobs and 16% of the economy are focused on just producing statistics? Now, that's some serious number-crunching...
2014 VA Interactive Roadshow -- BostonThe 2014 VA Interactive Roadshow will feature SASŪ Data Management and SASŪ Visual Analytics experts covering topics like prepping data for VA and VA integration with SASŪ Office Analytics. This year's events will keep presentations at a minimum and focus on giving attendees hands-on exposure to the latest version of VA.
Data Exploration & Visualization Get hands-on training that focuses on the critical steps in the process of analyzing data: accessing and extracting data, cleaning and preparing data, exploring and visualizing data. This INFORMS course will use several of the most popular software tools intensively, and provide an overview of the range of software options.
Foundations of Modern Predictive Analytics In this INFORMS course, learn about modern predictive analytics, the science of discovering and exploiting complex data relationships. This course will give participants hands-on practice in handling real data types, real business problems and practical methods for delivering business-useful results.
2014 VA Interactive Roadshow -- AtlantaThe 2014 VA Interactive Roadshow will feature SASŪ Data Management and SASŪ Visual Analytics experts covering topics like prepping data for VA and VA integration with SASŪ Office Analytics. This year's events will keep presentations at a minimum and focus on giving attendees hands-on exposure to the latest version of VA.
LEADERS FROM THE BUSINESS AND IT COMMUNITIES DUEL OVER CRITICAL TECHNOLOGY ISSUES
The Current Discussion
Visual Analytics: Who Carries the Onus? The Issue: Data visualization is an up-and-coming technology for businesses that want to deliver analytical results in a visual way, enabling analysts the ability to spot patterns more easily and business users to absorb the insight at a glance and better understand what questions to ask of the data. But does it make more sense to train everybody to handle the visualization mandate or bring on visualization expertise? Our experts are divided on the question. The Speakers: Hyoun Park, Principal Analyst, Nucleus Research; Jonathan Schwabish, US Economist & Data Visualizer
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