söndag 8 oktober 2017

He's Looking at the World through the Big Data Lens

Raazesh Sainudiin
From Department of Mathematics - Uppsala University, Sweden and Statistikfrämjandet:
When people misunderstood his poems, he wanted to do something where he could communicate in a way that left no room for misunderstanding. That’s why he decided to become a mathematician. Raazesh Sainudiin is driven by a strong desire to understand the world, and in his research he has succeeded in combining his interest for society with his command of the mathematical language. With the help of mathematics he has studied everything from biodiversity to dissemination of ideologies. The way in which he does it is new within academia and is called data science.

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torsdag 5 oktober 2017

Putting Predictive Analytics to Work

From Harvard Business Review:
Prediction is reinventing industries and changing our worlds. Companies, governments, law enforcement agencies, hospitals, and universities are using the power of big data and analytics to predict whether we’re going to “click, buy, lie, or die.”

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söndag 1 oktober 2017

fredag 29 september 2017

Postdoctoral Fellow in Statistics/Data Science

University of Oslo:
Applications are invited for a 3 year position as Postdoctoral Fellow in Statistics/Data Science to be based at the the Oslo Centre for Biostatistics and Epidemiology (OCBE), Institute of Basic Medical Sciences (IMB), the Faculty of Medicine, University of Oslo (UiO), Norway. The position is funded by the UiO Faculty of Medicine.

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Kan vi tämja datorerna?

Fokus:
Det är dags att bestämma vad vi ska ha den nya AI-tekniken till. Till att lösa klimatkrisen eller förslava oss själva i en AI-ledd diktatur? Valet är (förhoppningsvis) vårt.

En amerikansk börsmäklare som vid halv tretiden den 6 maj 2010 lämnade sin skärm för att gå till lattemaskinen och hälla upp en kopp kaffe missade allt. Plötsligt störtdök Dow Jones index med 9 procent, ett extremt stort fall för en så stor börs, och inom loppet av några minuter utraderades hundratals miljarder dollar i aktievärde. Bara för att återhämta sig lagom till lattekoppen ställdes på skrivbordet.

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torsdag 28 september 2017

The Ultimate Entrepreneur: Jim Goodnight, SAS

Jim Goodnight, co-founder and CEO, SAS
Forbes:
Artificial intelligence and machine learning are considered the new new thing but Jim Goodnight sets the record straight: “That’s exactly what we have been doing in statistics for years and years. We just call it building a model where these computer people call it machine learning. It’s a model, it ain’t nothing the machine learned.

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onsdag 27 september 2017

Så övertygar du människor med data

IDG Whitepapers & Webcasts:
Enligt en Stanford-forskare har människor 22 gånger större förmåga att komma ihåg, och ta till sig, en berättelse än de fakta berättelsen bygger på. Människor har berättandet i sitt DNA. Efter arbetet med din analys, när du vill få människor att förstå, och agera på, de resultat du kommit fram till, når du mycket större framgång om du förstår hur du skapar ett narrativ kring dina resultat. Detta utmärka whitepaper från CITO Research, sponsrat av Qlik, förklarar hur du skapar en berättelse av data.

tisdag 26 september 2017

MarC Awards – Undersökningsbranschens egen Oscarsgala!

Från SMIF:
Röda mattan rullas ut, champagnen kyls och nervositeten bland de nominerade är på topp. Välkommen till en kväll fylld av fest och flärd när vinnarna i årets MarC Awards ska koras!

Den 16 november kl. 18:00 är du varmt välkommen till Berns Ljusgården där vinnare i fem olika kategorier kommer att koras.
Dessutom är det du som nominerar vilka du tycker ska vinna i respektive kategori.

De fem kategorierna är:
  • Årets nykomling
  • Årets kvalitetsutvecklare
  • Årets undersökningsprojekt
  • Årets influencer
  • Branschgärningen
Varmt välkomna önskar SMIF tillsammans med SMUF, SÖK, ESOMAR och Surveyföreningen!

söndag 24 september 2017

Martin Lagerström at Statistics Sweden is an ACQ5 Global Awards 2017 Winner!

Interview with Martin on page 52 
From http://awards.acq5.com/1/ and FB of Martin
Martin Lagerström at Statistics Sweden is an ACQ5 Global Awards 2017 Winner! Our readers gave his work on strategy, management and leadership top-score ratings in our poll. Moreover, comments in the poll like “He and Statistics Sweden is without doubt the go-to resource for the latest trends, knowledge, skills and know-how in these issues” made us to want to learn more. We invited Martin to tell us more about the why´s, what´s, how´s and outcomes of this work. Information about this will be well spread throughout the world to ACQ5´s many readers and through other platforms as ACQ5 cooperates with Time, Bloomberg Business, CNN, BBC and Sunday Times. The award is based on a detailed assessment by users and a jury - http://awards.acq5.com/1/ Click on the link in the picture above to read the interview on page 52!

lördag 23 september 2017

The Trouble with Tables

The Trouble with Tables from Xavier Badosa
International Marketing and Ourtput DataBase Conference (IMAODBC) 2017. Madrid, Spain, 17-21 September 2017.
This presentation won the Bo Sundgren Award.



The Trouble with Tables, my presentation at #IMAODBC2017, winner of the best presentation award https://www.slideshare.net/badosa/the-trouble-with-tables … #mobile #interactive 

torsdag 21 september 2017

Easy-to-understand Statistics for the Public

Blog about Stats
In a recently published EUROSTAT publication, the authors demand innovative forms of communication from public statistics in order not to lose their socially important role. Among other things, they demand ‘…. to tell stories close to the people; to create communities around specific themes; to develop among citizens the ability to read the data and understand what is behind the statistical process.’

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tisdag 19 september 2017

The Good, the Bad and the Ugly - Communication of statistics in times of fake news

Blog about Stats:
In a recent paper Emanuele Baldacci, (Director, Eurostat) and Felicia Pelagalli, (President, InnovaFiducia) deal with the ‘challenges for official statistics of changes in the information market spurred by network technology, data revolution and changes in information consumers’ behaviours’ (p.3)

Three scenarios
The status-quo or bad scenario:

‘Information will continue to be consumed via multiple decentralized channels, with new information intermediaries emerging through social platforms, digital opinion leaders, technologies that reinforce belonging to peers with similar profiles and backgrounds, including in terms of beliefs.’ … ‘Under this scenario it is likely that increased competition from alternative data providers will put pressure on the official statistics position in the information ecosystem and lead to drastic reduction of public resources invested in official statistics, as a result of the perceived lack of relevance.’ (p.8)

Boris Johnson's £350m mistake – and 6 other statistical errors we all fall for

New Statesman:
Sir David Norgrove, the head of the UK Statistics Authority, wrote an open letter to Boris Johnson on how he was "surprised and disappointed" by the foreign secretary restating that Brexit will lead an extra £350m per week being made available for public spending.

Norgrove went on to say that "it is a clear misuse of official statistics". Johnson is not the first Conservative cabinet minister to be reprimanded by the Stats Authority. Six others have as well, as detailed by George Eaton.

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måndag 18 september 2017

MyData – a Nordic model for human-centered personal data


IIS:
MyData is the name of a human centered approach in personal data and Antti Poikola is one of the main initiators. The concept is well known on the open data arena in Finland, but now Antti Poikola wants the concept to be more used in other Nordic countries as well.

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Why Should Your Child Study Statistics?

This is Statistics:
In 2009, Google’s chief economist Hal Varian told The New York Times, “I keep saying that the sexy job in the next 10 years will be statisticians. And I’m not kidding.” Interest in the field has only increased since Varian’s remarks as word has spread about the field’s good pay and abundance of interesting and meaningful opportunities. In fact, Fortune magazine recently reported that statistics is the fastest-growing STEM degree. Yet the field continues to be a fairly well-kept secret, despite its perks, making jobs in statistics more plentiful than the number of skilled people who can do them.

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lördag 16 september 2017

New Degree Programs for the Hottest Job of 2017

This is Statistics:
Demand for employees with statistical skills continues to soar. According to Glassdoor, the top job of 2017 is data scientist. In addition to this, three more of the top 10 professions rely on data analysis skills, meaning that at least four of the top 10 jobs of 2017 would require statistical skills to be hired.

Following steady and significant growth in statitsics program offerings since 2014, 2017 is proving to be another great year for the field. To meet the demand, the San Francisco Chronicle reports, universities across the nation are also creating new programs in data science.

torsdag 14 september 2017

30 Data Analytics Careers That Aren't Data Scientists

Aspiring data scientists may have unrealistic
career expectations. [Image: Shutterstock]
Forbes:
One striking thing about these questions is that everybody is asking me, a person who has never, ever said, “I’m a data scientist,” how to be a data scientist. Another is that almost nobody asks how to become a statistician, data miner, engineer or any other profession that also uses analytical skills. This one relatively new title for people who analyze data has all but swallowed interest in many other analytical roles.

måndag 11 september 2017

Most asked Data Science Interview Questions-2017

Python- ML:
Data Science and Analytics jobs are in the great demand across the globe. The Harvard Business Review has named the DSA jobs as “the sexiest job of the 21st century”. According to IBM, the roles of Data Scientists and Analysts are projected to experience a demand spike by 28% by 2020. The following figure shows how important the DSA skills are today, and likely to be through 2020.

After experiencing the vibrant demand for the Data Science and Analytics jobs, you obviously need more attention while preparing for the DSA interviews. To help you prepare for the next interview, our subject experts have come up with a guide of most tricky interview questions and answers that will certainly let you give a tough fight in the interview.

1. What is Data Science?

Data Science is a mix of statistics, machine learning, and Artificial Intelligence that are used to extract knowledge or insights from the data available in different forms (structured or unstructured) for predicting the future trends.

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Specialization and Communication in Data Science

Simply Statistics:
I have been interested for a while now in how data scientists can better communicate data analysis activities to each other and to people outside the field. I believe that our current methods are inadequate because they have mostly been borrowed from other areas (notably, computer science). Many of those tools are useful, but they were not developed to communicate data analysis concepts specifically and often fall short. I talked about this problem in my Dean’s Lecture (below) earlier this year and how the field of data science could benefit from developing its own theories, to simplify communication as other fields have done.

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torsdag 31 augusti 2017

Levande landskap

Från Statisticon:
– en social kompass för ett kommunalt landskap i förändring

Tre år har gått sedan vi introducerade en metod för att visualisera den samlade socioekonomiska bilden i Sverige. Bilden visade läget för Sveriges kommuner år 2012. Med en omvärld som ständigt förändras och som inte minst de senaste åren har genomgått relativt stora förändringar, behöver även den socioekonomiska kartan uppdateras och analyseras på nytt. I detta inlägg gör vi en ny resa i Sveriges socioekonomiska landskap baserade på data avseende år 2015. Vi har använt samma tio variabler och metod för att skapa kartan och klustra kommunerna i olika landskap. Se not sist i inlägget för en mer detaljerad beskrivning av metoden och vilka variabler som ingår.

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