In 2012, Data Scientist was dubbed the sexiest job of the 21st century by Harvard Business Review and it is one of the most in-high demand jobs in the world. Data has become a key part of every organization as technology flourishes. As the world become increasingly digitized, businesses are
This is the second post in a series covering parallel processing in SAS Viya. The first post served as an introduction to parallel processing. It covered parallel processing uses in data science and the SAS Viya products that facilitate it. There are countless opportunities for using parallel processing within data
SAS and Microsoft certifications can help with your professional and career development. And now, you can even take certification exams from the comfort of your own home.
Most computers can execute operations in parallel due to their multicore infrastructure. Performing more than one operation simultaneously has the potential to speed up most tasks and has many practical uses within the field of data science. SAS Viya offers several products that facilitate parallel task execution. Many of these
The demand for people with analytics and data science skills continues to outpace supply – and SAS skills are among the most prized. Through programs such as the new SAS Academic Specialization, the company is building a sustainable pool of data science and analytics talent. At the virtual SAS Global Forum 2021, the company recognized
Early in her career, a mentor gave Dawnté Early some career advice that would ultimately change her life. “If you can learn how to analyze and dig into your own data, instead of paying others to do it for you, you’ll be able to do your own research and write
SAS Viya 4 est un terme qui englobe toutes les versions basées sur la cadence (cf. ci-dessous). La plupart des références omettent le chiffre 4 parce qu'elles concernent une version spécifique (comme 2020.1) ou qu'elles sont pour SAS Viya en général. Dans certaines références qui font la distinction entre les
Deloitte, ses partenaires RCI Bank and Services et SAS ont organisé pour la 3e année consécutive le DRiM Game, LE challenge étudiant dédié à la « data science ». Quatre formations de seconde année de master ont travaillé sur une problématique métier de l’industrie bancaire et relevant de la modélisation
Data scientist has been on the career hot list for years, but how does one become a data scientist? Well, my journey to becoming a data scientist was not an intentional journey - I didn't start with a plan to end up in a data science career. In fact, I
La demanda de profesionales especializados en Ciencia de Datos e Inteligencia Artificial continúa creciendo en las organizaciones y se sitúa entre las 15 profesiones más solicitadas en España para este 2021, según el informe anual de Linkedin “Empleos en auge”. Estas previsiones responden a un espectacular aumento de la demanda
This resource is designed primarily for beginner to intermediate data scientists or analysts who are interested in identifying and applying machine learning algorithms to address the problems of their interest. A typical question asked by a beginner, when facing a wide variety of machine learning algorithms, is “which algorithm should
Where do your data scientists sit? Perhaps they occupy a typically gloomy, computer-filled basement. Or maybe they have a glassy building all to themselves. Either way, you’ll not always see business decision makers walking the same corridors. After all, analytics is best left to the experts, isn’t it? Yet back
In my last blog post, I talked about the importance of establishing the right team for data science projects. Here, I’m going to talk about some of the barriers that can prevent successful adoption of data science. You can read my whole "data science in the wild" blog series here.
You’ve finally done it. You managed to stay awake through the endless series of MOOC videos, and you’ve mastered the IRIS data set. You've learned that lm() will build you a pretty nifty model in R, and you can fit a Classifier with SciKit Learn. You know your Neural Net
El tema del empleo es sin duda un gran desafío que enfrentan los países en este momento. Colombia, según datos de la OCDE, es el país de esta organización con el índice de desempleo más alto: cercano al 20% a nivel nacional. Según esa entidad, con respecto a lo que
SAS has always believed in the power of education, but in today’s data-driven economy, it’s more important than ever to ensure our students are introduced to data science at an early age. We as a company are focusing our resources on creating student experiences in data literacy, computer science and
A prima vista, potrebbe sembrare che data science e psicologia abbiano ben poco in comune. Tuttavia, di recente ho iniziato ad appassionarmi di psicologia e penso che tra le due ci siano molte più somiglianze di quanto si possa pensare. 1. Sia Data Science che psicologia ci aiutano a rispondere
Teknoloji dur durak tanımıyor, günbegün yeni buluşlarla, atılımlarla ve daha nicesiyle tanışıyoruz. Daha da önemlisi, bunu artık anlık olarak yapıyoruz. İnternet çağının katkılarıyla, Türkiye’de yaşayan bir kişi dünyanın herhangi bir yerinde, dün yapılmış bir çalışmayı hemen kişisel bilgisayarının rahatlığıyla okuyabiliyor. Tabii ki, bu kadar hızlı gelişmenin artıları olurken eksileri de
A evolução do analytics e da ciência de dados gera constantes atualizações e transformações nas plataformas de análises. Este artigo tem o propósito de apresentar como o SAS tem acompanhado essa evolução. Ambiente Integrado: uma única plataforma, diversas tarefas O SAS oferece recursos que permitem acessar, explorar, transformar, analisar e
Últimamente se habla mucho de la importancia del storytelling en analytics. Obviamente, no tiene sentido analizar datos si las personas a las que se los vamos a presentar no entienden qué relación tienen esos insights con el Negocio. ¿Cuál es el reto entonces? Ser capaz de explicar el análisis de
Je m’appelle Franck. Je suis consultant. Depuis 2003, j’accompagne de grands établissements pour renforcer leurs dispositifs de lutte contre le blanchiment (AML) et le financement du terrorisme en déployant des progiciels. 17 ans sont passés, ils fonctionnent toujours. Problème : ils sont devenus des monstres ! Je prends conscience de
The popular image of data scientists is very much a bit of a geek or nerd. However, that’s not strictly accurate. It may not be – as Harvard Business Review famously suggested – the sexiest job of the 21st century. But it is a long way from the perceived world
Las compañías son hoy más conscientes que nunca de la necesidad de basar su toma de decisiones de negocio en datos para que éstas sean lo más objetivas y fundamentadas posible. Esta tendencia está teniendo un impacto en la demanda de perfiles analíticos, capaces de interpretar los datos y extraer
Decision trees are a fundamental machine learning technique that every data scientist should know. Luckily, the construction and implementation of decision trees in SAS is straightforward and easy to produce. There are simply three sections to review for the development of decision trees: Data Tree development Model evaluation Data The
Remember Subconscious Musings? It was the name of the blog Radhika Kulkarni (now retired Vice President of SAS R&D) started in 2012. She wrote about trends that drove innovation and challenges that expanded the boundaries of what we thought was possible. It eventually evolved into what we now know as
En España se generan más de 22 millones de toneladas de residuos urbanos al año, según datos de la Alianza Residuo Cero, que apunta también a que solo un 30% de ellos acaban siendo reciclados. Para minimizar su impacto en el entorno es fundamental un sistema adecuado de gestión, ya
Skills shortages in data science affect every company and organisation that tries to automate and adopt AI over the next few years.
This post is the second in our Young Data Scientists series, featuring the motivations, work and advice of the next generation of data scientists. Be sure to check back for future posts, or read the whole series by clicking on the image to the right. Kai Woon Goh is
Ever since automated machine learning has entered the scene, people are asking, "Will automated machine learning replace data scientists?"
Through hyperparameter autotuning, you can maximize a model's performance without maximizing effort. While SAS searches the hyperparameter space in the background, you are free to pursue other work.
