Help wanted: Data scientist: Epoch Research Institute SAS Training & Placement Program on SAS Data Science.

SAS Training & Placement Program on SAS Data Scientist: Epoch Research Institute India oldest SAS Training Partner :
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Article: http://blogs.sas.com/content/sastraining 

By Thomas H. Davenport

"Big data" has excited many executives with its potential to transform businesses and organizations. The concept refers to data that is either too voluminous, too unstructured, or from too many diverse sources to be managed and analyzed through traditional means. The related concept of "high-performance analytics" (HPA) involves using new technologies to dramatically accelerate the speed of large-scale analytical projects.
But prospering from big data and HPA takes more than simply employing new technologies. Firms will need to build new capabilities to deal with this new resource, even if they are already experienced users of analytics.
One of the most important capabilities is "data scientists" to do the day-to-day work of big data management and analysis. I interviewed more than 30 of them in a recent study, and here's what you need to know:

What is a data scientist?

Data scientists are hybrids of technologists and quantitative analysts. They work in a variety of organizations, from big data startups to large, established companies like GE, Intuit and EMC.
GE, for example, expects to hire more than 400 computer and data scientists at its new Global Software and Analytics Center in San Francisco to focus on big data for industrial products, such as locomotives, turbines, jet engines and large energy generation facilities.
Data scientists have somewhat different roles from traditional quantitative analysts. Whereas traditional analysts typically use analytics on internally generated data to support internal decisions, the focus of many data scientists is on customer-facing products and processes, where they help to generate products, features, and value-adding services. For example:

• At the business social network LinkedIn, data scientists developed the “People You May Know” and “Jobs You May Be Interested In” features of the site, among others.
• GE is already using data scientists to optimize the service contracts and maintenance intervals for industrial products.
• Google, of course, uses its roughly 600 data scientists to refine its core search and ad-serving algorithms.
• Zynga uses data scientists to target games and game-related products to customers.
• In health care big data firms, data scientists try to discover the most effective treatments for different diseases.

Given this product-centric focus, data scientists are most likely to be in product development or marketing organizations. Some work in the reporting structure of the chief technology officer (CTO). Those who report to CTOs are likely to work on tools that make data science easier and more productive.
Data scientists who focus on HPA applications don't necessarily need to understand how to process unstructured data, but they do need to understand how analytical work can be divided across multiple parallel servers. They should be able to explore a variety of ways to use the extra time from HPA to refine their models. In addition, they need to try to accelerate decision speeds to match the much faster cycle times of data analysis.

Skills required

Data scientists require technical, business, analytical and relationship skills. From a technical standpoint, many have advanced computer science degrees, or advanced degrees (often PhDs) in fields such as physics, biology or social sciences that require a lot of computer work.
They're not just programmers; many refer to data scientists' computational skills as "hacking" – bending technology to do their bidding in unusual ways. The specific technologies on which data scientists focus include:

• Hadoop, MapReduce, and the related ecosystem of distributed file system tools.
• Programming languages such as Python, Java, Pig and Hive.
• Machine learning.
• Nontraditional database tools such as Vertica and MongoDB.
• Natural language processing.
• Statistical tools.

In addition to these technical skills, data scientists also need the attributes previously necessary for analytical professionals, including mathematical and statistical skills, business acumen, and the ability to communicate effectivelywith customers, product managers and decision makers.
Of course, the combination of these skills is difficult to find in one person, so some companies have created data science teams that together embody this collection of skills.

Finding data scientists

In a recent Economist Intelligence Unit survey of 600 global executives, 54 percent of North American respondents said finding the right people with the right skills is the No. 1 obstacle to launching a successful big data project. Where can an organization find data scientists?
There are few, if any, academic programs in the area, although several are being designed now. Most organizations, however, must recruit and hire individuals from other backgrounds who have skills related to data science. For example, George Roumeliotis, the head of a data science team at Intuit in Silicon Valley (and himself a PhD in astrophysics), seeks people who can develop prototypes in a mainstream programming language such as Java, and have a solid foundation in math, statistics, probability and computer science. He also looks for a feel for business issues and empathy for customers.
There are a variety of other approaches in use to develop and hire data scientists. EMC has determined that the availability of data scientists will be an important gating factor in its own big data efforts and those of its customers. So it has created a "Data Science and Data Analytics" training program for its employees and customers. Some large consulting firms are beginning to offer data scientists to their clients. And a Silicon Valley program, the Insight Data Science Fellows Program, takes scientists for six weeks and teaches them the skills to be a data scientist.


For More Information on SAS Training & Placement Program on SAS Data Scientist please contact us on: info@epoch.co.in or visit us  website: www.epoch.co.in 

Source : http://blogs.sas.com/content/sastraining

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UK Hadoopists: fashionably late to the big data party: SAS BIG DATA ANALYTIC'S TRAINING: epoch research institute (Ahmedabad,Bangalore, Chennai, Hyderabad, Delhi)

SAS Training & Placement Programs with Internship: EpochResearch Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore)

 

Big Data Analytics & Data Mining Science Training with Hadoop@ Epoch Research Institute India Largest SAS Training (Text Mining, Platform Admin)

Article By: Tamara Dull






People are such an important aspect of data analytics. I was reminded of this at the recent Strata+Hadoop World event, where I saw first hand that the UK is indeed facing the same skills gaps as elsewhere in the world. Perhaps that didn’t surprise me, but I also noticed the different journey the UK has taken to adopting big data analytics.

Without delving too deeply into the UK's use of big data analytics as compared to other markets, we can see at least one stark difference: that the late adoption of big data has been a help, not a hindrance. While US companies might have vast amounts of data to work through, in general, UK companies are not facing this same scale of project quite as often. Instead, the UK is mainly facing the complexities of incorporating and consolidating a wide variety of distributed data – from a variety of different sources and located in different parts of the business.

Thanks to its late arrival at the party, data analysts in UK businesses can look at the experiences of US companies and learn from how they’ve overcome those challenges of volume and complexity.

UK businesses are skipping the experimentation stage and jumping straight to an understanding that it’s not big data and analytics, but that the two come hand in hand. In doing so, the skills held by data scientists in the UK are less likely to have that gap in understanding. In the US, there remains some long-held confusion that the two are separate projects despite having more hands-on trial-and-error experience.

Combining big data and analytics won’t be everything that UK companies need to accomplish to be successful, of course.

I also recommend focusing on the ABVs for the aspiring Hadoopist.

• Agility: Hadoop evolves at an incredible rate, so to keep up you need to be flexible.
• Balance: It’s important to maintain a balance ­ whether it’s between older/newer tech, or maintaining the status quo and being innovative.
• Vision: The art and power of imagination, along with the ability to negotiate multiple fields of vision, will arm you with the tools to be a successful Hadoopist.

These principles, developed as a result of the experiences of Hadoopists, data scientists and data analytics projects, provide a framework for successful Hadoop projects and everyone, wherever they are from, should bear them in mind.

You’ll notice these ABVs are not about the data, the method, or the data source, but the people. Today, two-thirds of the issues listed as barriers to success are people-related, not technology related. Though UK data analytics projects are on a different journey, people and skills remain at the centre of how that journey develops. So even though the UK might be lagging behind the US in big data implementations, the understanding that analytics is inextricably linked to Hadoop will stand the UK in good stead for the future.

If you missed it, you can watch a video of my session at Strata+Hadoop World below.

For a more in-depth view of making Hadoop work for your business (whether you’re in the UK or not), take a look at our report, "Bringing the Power of SAS to Hadoop."

Finally, check out some related blog posts on the importance of getting the right people on your big data team, whether the skills gap will kill Hadoop, and the need to close the big data skills gap.

Source : http://blogs.sas.com/content/sastraining

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Placement Update @ GSK !! : Epoch Research Institute SAS Training: Clinical SAS Training: epoch research institute (Ahmedabad, Bangalore, Chennai, Hyderabad, Delhi)

SAS Training & Placement Programs with Internship: EpochResearch Institute India Largest and Oldest #SASTraining Institute(#epochsastraining)

Epoch Research Institute SAS Training : Clinical SAS Programmer Course. 

www.epoch.co.in  

Placement Update: SAS Training Epoch Research Institute Bangalore, Business Analytics

Placement Update: 

   Clinical  SAS Training ,SAS Business Analytic, Big Data, Predictive Modeling                                                                      Epoch Research Institute 

Hearty Congratulation's to     Konda Reddy (Students @ Epoch Research SAS Training)

for Getting Successfully Selected @ GSK, Bangalore

for a Role of Clinical SAS Programmer 

We wish you success in years to come ..!!!

Feedback & Review: 

After working for 8 years in research field in UK. I have to return home. I joined Epoch Research Institute as it is on SAS Accredited Institute to learn Clinical SAS Programming. Being an experience professional made me think to invest this amount or not. But looking at placement record and feedback and review from alumni help me to take up this course. 

trainers Shashank and Likith made it comfortable journey and kept on advising me on course and how clinical SAS programming course would help me craft my future. 

During course I had few complaints; but sincere thanks to Dharmesh for sorting out and made me focus on course study then other things. It really helped 

Thanks to Komala for placement assistance and referring my CV to GSK.

Thanks to all non-teaching Staff and teaching staff of Epoch.

Name- Konda Reddy
Education- BSC and MSC
Course@Epoch-BCSP
Placed at- GSK
Designation- Clinical SAS Programmer

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Email us: info@epoch.co.in

SAS Training & Placement Programs with Internship: Epoch Research Institute India Largest and Oldest #SASTraining Institute (#epochsastraining)

EPOCH RESEARCH INSTITUTE OFFERS:

Authorized SAS TRAINING | SAS CERTIFICATION | SOFTWARE PURCHASE | BUINESS CONSULTING | TECHNICAL SUPPORT ON SAS || SAS STAFFING SOLUTION 

Label:

#SASELEARNING,#SASELEARNING,#SASONLINETRAINING,

#SASONLINETRAININGFORBEGINNERS,#LEARNSASPROGRAMMINGONLINE,

#SASCLINICALONLINETRAINING,#SASBASEONLINETRAINING

#BIGDATASASTRAININGEPOCH,#SASBIGDATATRAINING #EPOCHRESEARCHINSTITUTE, #SASTRAINING, #EPOCH SAS FEEDBACK,
#CLINICALSASPROGRAMMING, #EPOCHCLINICALSASPROGRAMMING.