Clinical SAS Programming | Data Science| SAS Training in Bangalore: May 2017

Tuesday, 30 May 2017

Learn SAS® Visual Analytics by Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

SAS Visual Analytics (VA) is web-based environment that supports several applications. It allows you to create beautiful, interactive dashboards or reports that are immediately available on the web or a mobile device.
Benefits of Using SAS Visual Analytics:
Using SAS Visual Analytics, users can enhance the analytic power of their data, explore new data sources, investigate them, and create visualizations to uncover relevant patterns. Users can then easily share those visualizations in reports. In traditional reporting, the resulting output is well-defined up-front. That is, you know what you are looking at and what you need to convey. However, data discovery invites you to plumb the data, its characteristics, and its relationships. Then, when useful visualizations are created, you can incorporate those visualizations into reports that are available on a mobile device or in the viewer.
SAS Visual Analytics provides users with the following benefits:

enables users to apply the power of SAS analytics to massive amounts of data
empowers users to visually explore data, based on any variety of measures, at amazingly fast speeds
enables users to share insights with anyone, anywhere, via the web or a mobile device

#SASELEARNING,#SASELEARNING,#SASONLINETRAINING,#SASONLINETRAININGFORBEGINNERS,#LEARNSASPROGRAMMINGONLINE,#SASCLINICALONLINETRAINING,#SASBASEONLINETRAINING#BIGDATASASTRAININGEPOCH,#SASBIGDATATRAINING#EPOCHRESEARCHINSTITUTE,#SASTRAINING,EPOCHSAS
FEEDBACK

Monday, 29 May 2017

Joint INITIATIVE (Clinical SAS Training) by Epoch Research Institute (www.epoch.co.in) & Quartesian LLC

+91 79 40327000|+91 80 49077000|+91 44 42641500

Sunday, 28 May 2017

The widening spectrum of Data Science Roles

The development and use of self-service analytics has brought with it a new role in many organizations: the citizen data scientist. But is this genuinely a new role, or is it just a new name for a business analyst?

Is this a definition thing?
Business analysis is broadly defined as analyzing the business, including processes or systems, and putting forward solutions. I would say that all those were part of the citizen data scientist’s role, which suggests that it may be the term alone that is new. But I think there is one key difference: citizen data scientists have to do all these things, but these functions are not at the core of that person’s role.

In other words, citizen data scientists are not actually data scientists. Instead, they are business users who understand and can do analytics. They are able to use data but that is not their primary role in the business. Uniquely, they bring together knowledge of the business, and some understanding of analysis. The best citizen data scientists know the business, and are not afraid to get their hands dirty with data. They use the right tools to generate insights that can bring value to the business. It is, however, up to the business to evaluate the insights.

The role itself has arisen as we all become more data-driven. At the same time, a shortage of dedicated data scientists has meant that there is a lack of capacity to crunch numbers and produce insights. In other words, citizen data scientists have developed out of necessity. It is, perhaps, best described as a hybrid role, but is certainly filling a gap in many organizations.

The enablement journey But as citizen data scientists are not dedicated data scientists, they need more support to enable them to perform their role successfully.
First of all, they need suitable self-service analytics tools to enable them to manipulate data and achieve information and insights. These tools need to be simple to use, but with a wide range of analytical options available. Citizen data scientists may also need training and support in using these tools, at least initially.

The next requirement is suitable data. This means from multiple sources, because insights seldom come from rehashing a single source, and the data also need to be clean and high quality. Finally, but perhaps most importantly, citizen data scientists need sponsorship within the organisation. In practice, that means permission to experiment and try things out, just as dedicated data scientists do. They should not be limited by organisational culture.

Indeed, it is entirely possible that embracing the role of citizen data scientist within the organisation could bring about some very positive organisational change. The type of people who tend to gravitate towards these roles are experimenters and innovators, and by definition, they are not very good at ‘business as usual’. They are therefore often disruptive, in a good way, changing the culture and driving positive organisational ‘adjustments’.

Substitution or complementarity?
Citizen data scientists have been suggested as the answer to the shortage in data science skills. In my view, however, they cannot entirely replace data scientists. It even seems likely that the rise of citizen data scientists will lead to new roles for data scientists: providing support, but also enabling them to spend time on more complex analysis, adding significantly more value to the organisation. It makes sense that some of your most expensive and highly skilled resources should not be wasted on basic analysis, but instead, used to add real value that only they can add.
As cars became simpler, chauffeurs ceased to be necessary for most of us. But that did not make us all Formula 1 drivers. In the same way, the rise of citizen data scientists does not mean that there is no role for those with significantly stronger skills and greater knowledge and ability in data science.

A win-win situation In other words, the roles are complementary, rather than a substitute. Business users need support to enable them to explore data. But self-service analytics offers the opportunity for business users to explore data without being limited by a shortage of analytical and data science skills within the organisation.
At the same time, the existence of self-service analytics removes the chore of basic analytics from skilled data scientists. It frees up their time and capacity to enable them to get on with what interests them: highly complex analysis that will add significant value for the organisation.
Here you can find a fact sheet about SAS Visual Analytics, our self-service tool for the citizen data scientist.

Epoch Research Institute Links:
http://www.epoch.co.in/
https://www.facebook.com/EpochResearchInstitute
https://twitter.com/epochresearch
https://www.linkedin.com/company/epoch-research-institute-india-pvt-ltd-
#SASELEARNING,#SASELEARNING,#SASONLINETRAINING,#SASONLINETRAININGFORBEGINNERS,#LEARNSASPROGRAMMINGONLINE,#SASCLINICALONLINETRAINING,#SASBASEONLINETRAINING#BIGDATASASTRAININGEPOCH,#SASBIGDATATRAINING#EPOCHRESEARCHINSTITUTE,#SASTRAINING,EPOCHSAS
FEEDBACK,

Friday, 26 May 2017

CAREER AS BUSINESS ANALYST WITH SAS Analytics : Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

WHAT IS SAS?

SAS is a technologies which gives various kinds of business solution Like business analytics, data analytics, Forecasting, reporting on basis of data.
Major industries like finance industries, banking sectors, retail sectors, telecom industries, government sector are using SAS for their business planning and growth.
It is a tool which gives end-to-end solutions for increasing business growth.
SAS is a one of leading analytical tool widely used to get insight of business which leads forecasting on the bases of data, which helps big corporate in taking decisions.
It achieves one of leading position across world since 1976.
SAS has the depth of resources to sustain excellence in product development and customer support.

Why is SAS career?

SAS gives wonderful career growth with combination of education like MBA, MCA, Bcom, Mcom, Engineering, pharmacy, Bsc, Msc, etc.
SAS solutions are used at 45,000 sites in 108 countries including 96 of the 100 FORTUNE global 500 companies to develop more profitable relationships with customers and suppliers.
Certification of SAS is globally valid across world.
Opportunity to work in major industries with high salary packages.
Multiple choices for multiple industries after SAS.
Opportunity to work at senior level profile like business analyst, SAS consultant, data analyst, SAS programmer, data manager & and many more.
World authentic market research company Gartner has ranked SAS No.1 for insurance domain.

#SASELEARNING,#SASELEARNING,#SASONLINETRAINING,
#SASONLINETRAININGFORBEGINNERS,#LEARNSASPROGRAMMINGONLINE,
#SASCLINICALONLINETRAINING,#SASBASEONLINETRAINING#BIGDATASASTRAININGEPOCH,#SASBIGDATATRAINING #EPOCHRESEARCHINSTITUTE,#SASTRAINING,EPOCHSAS FEEDBACK,

Thursday, 25 May 2017

SDTM & ADaM Domain Training Along With SAS Authorized Training At Epoch Research & Quartesian LLC.

Be a SAS Certified Professional with Clinical Domain training by Mentors of Epoch & Quartesian, also get 3 month paid internship on Clinical SAS.

As a clinical programmer, there are many paths to take. The main goal is always to access the data, manipulate and transform the data, analyze the data and report on the data. As a programmer, one can specialize in Data management (DM) programming and spend a majority of the time cleaning the data through edit checks and the creation of patient
listings and profiles. Another task of the DM programmer is to transform the data from its raw format into a standard format. This standard format could be the CDISC Study Data Tabulation Model (SDTM) that is requested by regulatory agencies upon submission of a new compound or it could be a sponsor’s own standards. In the process of transforming the data, the DM programmer must make sure that the output conforms to the standard and is compliant as well as valid So another part of the job is to write programs to check the data against the standard and run the programs whenever a new study is about to be analyzed.

CDISC end-to-end !

SDTM defines a standard structure for study data tabulations.
ADaM specifies the fundamental principles for the creation of analysis datasets .

In order to increase the efficiency of the drug development process, the Clinical Data Interchange Standards Consortium (CDISC) has developed a series of clinical study data standards to facilitate efficient transfer, access and review of clinical trial data. These standards include the Operational Data Model (ODM), the Study Data Tabulation Model (SDTM) and the Analysis Data Model (ADaM). This paper presents basic strategies and practical methods for creating SDTM domain data sets from clinical data management (CDM) system files. Before initiating the data mapping and conversion process it is crucial to have a basic understanding of the SDTM specifications. CDISC provides implementation guides for all of the CDISC data standards on their Website (www.cdisc.org). The SDTM Implementation Guide(SDTMIG)is an essential tool for anyone involved with the metadata mapping or programming associated with the creation of SDTM data sets. The SDTM Implementation Guide contains the specifications and metadata for all of the SDTM data domains and guidance for producing SDTM domain files. The SDTM is an evolving standard and it is important to ensure that everyone involved in the conversion process is adhering to the same version of the SDTM. It is also important to understand the difference in the version numbers for the SDTM standard and the associated implementation guide.

The Analysis Data Model (ADaM) document specifies the fundamental principles and standards to follow in the creation of analysis datasets and associated metadata. Metadata are “data about the data” or “information about the data.” The Analysis Data Model supports efficient generation, replication, and review of analysis results.

Email us: info@epoch.co.in
SAS Training & Placement Programs with Internship*:
   Epoch Research Institute India
    Largest and Oldest SAS Training Institute
Epoch Research Institute Links:
Epoch | Facebook | Twitter | LinkedIn
Epoch Research Institute India Pvt. Ltd.
Ahmedabad |   Bengaluru | Chennai
+91 79 40327000|+91 80 49077000|+91 44 42641500

Wednesday, 24 May 2017

INTERESTING CAREERS TO EXPLORE IN Learn SAS® BIG DATA with Epoch Research Institute India PVT. LTD.(www.epoch.co.in)

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it's not the amount of data that's important. It's what organizations do with the data that matters.

DATA SCIENTIST:

These people use their analytical and technical capabilities to extract meaningful insights from data.

DATA ENGINEER:

They ensure uninterrupted flow of data between servers and applications and are also responsible for data architecture.

BIG DATA ENGINEER:

Big Data Engineers build the designs created by solutions architects. They develop, maintain, test and evaluate big data solutions within organizations.

MACHINE LEARNING SCIENTIST:

They work in the research and development of algorithms that are used in adaptive systems. They build methods for predicting product suggestions and demand forecasting, and explore Big Data to automatically extract patterns.

BUSINESS ANALYTICS SPECIALIST:

A Business Analytics specialist supports various development initiatives, assists in testing activities and in the development of test scripts, performing research in order to understand business issues, and developing practical cost-effective solutions to problems.

DATA VISUALIZATION DEVELOPER:

They design, develop and provide production support of interactive data visualizations used across the enterprise. They possess an artistic mind that conceptualizes, design and develop reusable graphic/data visualizations and uses strong technical knowledge for implementing these visualizations using the latest technologies.

BUSINESS INTELLIGENCE (BI) ENGINEER:

They have data analysis expertise and the experience of setting up reporting tools, querying and maintaining data warehouses. They are hands-on with big data and take a data driven approach to solving complex problems.

BI SOLUTION ARCHITECT:

They come up with solutions quickly to help businesses in making time sensitive decisions, have strong communication & analytical skills, passion for data visualization, and a drive for excellence and self motivation.

BI SPECIALIST:

They are responsible for supporting an enterprise wide business intelligence framework. This positions requires critical thinking, attention to detail, and effective communication skills.

ANALYTICS MANAGER:

An analytics manager is responsible for configuration, design, implementation and support of data analysis solution or BI tool. They are specifically required to analyze huge quantities of information gathered through transactional activity.

MACHINE LEARNING ENGINEER:

Machine Learning engineer's final "output " is the working software, and their "audience" for this output consists of other software components hat run autonomously with minimum human supervision. The decisions are made by machines and they affect how a product or services behaves.

STATISTICIAN:

They gather numerical data and then display it, and help companies to make sense of quantitative data and to spot trends and make predictions.

Email us: info@epoch.co.in
SAS Training & Placement Programs with Internship*:
   Epoch Research Institute India
    Largest and Oldest SAS Training Institute
Epoch Research Institute Links:
  Epoch | Facebook | Twitter | LinkedIn
Epoch Research Institute India Pvt. Ltd.
Ahmedabad |   Bengaluru | Chennai
+91 79 40327000|+91 80 49077000|+91 44 42641500

Learn Base SAS® Batch on Live Web Training by Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

   Email us: info@epoch.co.in
SAS Training & Placement Programs with Internship*:
Epoch Research Institute India
  Largest and Oldest SAS Training Institute
   Epoch Research Institute Links:
  Epoch | Facebook | Twitter | LinkedIn
  Epoch Research Institute India Pvt. Ltd.
Ahmedabad |   Bengaluru | Chennai
+91 79 40327000|+91 80 49077000|+91 44 42641500

Tuesday, 23 May 2017

Learn Advance SAS® Batch on Live Web Training by Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

Email us: info@epoch.co.in
SAS Training & Placement Programs with Internship*:
   Epoch Research Institute India
    Largest and Oldest SAS Training Institute
Epoch Research Institute Links:
  Epoch | Facebook | Twitter | LinkedIn
Epoch Research Institute India Pvt. Ltd.
Ahmedabad |   Bengaluru | Chennai
+91 79 40327000|+91 80 49077000|+91 44 42641500

Are Data scientists the chauffeurs of the 21st century? Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

In 1901, Gottlieb Daimler predicted: “The global demand for motor vehicles will not exceed one million—simply because of the lack of available chauffeurs”. Today, most people drive themselves and self-propelled cars are rapidly becoming a reality. Are we likely to see the same situation for data scientists, with more and more self-service analytics and machine learning? In making any predictions, it is always a good idea to ask the “chauffeur question”.
Daimler could hardly have imagined in his wildest dreams that there would be more than one billion vehicles registered worldwide. It never occurred to him that we would overcome the technical issue of needing a chauffeur to act as driver, mechanic and navigator. He recognized that the number of chauffeurs was the limiting factor, but did not consider that there might be more than one way to overcome that problem.

Data scientist as limiting factor:More than 100 years later, we may be seeing Chauffeur 2.0 - the data scientist. According to the Harvard Business Review, data scientist is now the “Sexiest Job of the 21st Century”. Because of limited human availability, data scientists are both expensive and in demand. Small and medium-sized enterprises, possibly in unattractive locations outside big cities, are finding it hard to recruit good staff, because the stars of data analysis want to work for Google rather than Müller GmbH. Does this mean that data science and advanced analytics are only for big players and not for small and medium-sized companies? Not any more, with the rise of approachable analytics.

Approachable analytics: starting to drive yourself:Approachable analytics is the idea of using analytical methods without programming skills in a simple and visual way. Users are given access to easy-to-use solutions for classic business intelligence problems (basic counting and weighing options) as well as high-quality analysis (for example, regressions, decision trees, and cluster analyses), to enable them to enter the data science arena.

An approachable analytics tool should have:

Analysis and reporting functions within one interface:It should be possible to interactively investigate data, derive new variables and measures, identify outliers, apply analytical methods, and create predictive models.
Ability to share information:All findings should be sharable with others, on any device, including mobile.
Data management:Users must be able to access data independently, from several different sources, and link them to carry out calculations. This means that systems should link to both internal (such as ERP and CRM) and external (Web, Twitter, Google Analytics) systems. The best tools include modern data wrangling functions.
Scalable infrastructure : Will data scientists be replaced, like chauffeurs? Looking at the current technical possibilities, the answer is a clear “maybe”. The available tools still have major functional differences. Not all analytics tools are created equal, with many using open source tools like R and Python. Analytic methods and predictive models require accurate interpretation and high quality data and analytics, or modeling errors will creep in. But this new generation of analytical tools are ideal entry points for more (big) data analytics. Savvy professionals will simply go one step further. Of course you need some training, but the access to analytics is tangible and feasible. You just have to want to start. The chauffeur question—whether limiting factors are given or not—simply adds another dimension.

Email us: info@epoch.co.in

SAS Training & Placement Programs with Internship*:

Epoch Research Institute India

Largest and Oldest SAS Training Institute

Epoch Research Institute Links:

Epoch | Facebook | Twitter | LinkedIn

Epoch Research Institute India Pvt. Ltd.

Ahmedabad | Bengaluru | Chennai

+91 79 40327000|+91 80 49077000|+91 44 42641500

Monday, 22 May 2017

Students visualize aircraft data in real time using SAS with Epoch Research Institute India Pvt. Ltd. (www.epoch.co.in)

What do you get when you combine analytics, aviation and the Internet of Things? A learning experience that leaves everyone flying high!
At Data on the Fly, 25 area high school students had the opportunity to learn how technology has changed – and continues to change – the aviation industry. The day began with a tour of the air traffic control tower at RDU International Airport. Students then gathered at the DOT hangar to hear about the day’s agenda and meet the team of volunteers who would walk them through the project.
Presenters from SAS, the Department of Transportation and the NC Science Festival shared their excitement about analytics and aviation, and it wasn’t long before the student teams were each digging into a small box of parts they’d been provided with. The final product was a Stratux aircraft monitoring device, which was assembled from a Raspberry Pi computer board, software radios and antennae.
The Stratux boxes were placed on the tarmac and immediately began receiving data from aircraft in the area. Information such as aircraft speed and altitude was bounced down and displayed on each team’s iPad via an app called Foreflight, and the teams were able to see their work come to life with the power of SAS Visual Analytics.

Volunteers show passion for aviation and analytics Karen Allen Lee, Senior Director of Internal Communications at SAS, pulled together volunteers from SAS to help organize the event, which she says couldn’t have happened without a great team effort. Senior Director of R&D Don Koch and Principal Implementation Project Manager John McNeill, both amateur pilots, were excited to participate.

“I’ve been around aviation as a hobby and information technology as a profession since well before these students were born,” McNeill said. “This event allowed me to bring the two together in a way that hopefully inspires them to consider a career that incorporates both.”

Alongside Lee, Koch and McNeill, SAS had five other employees volunteering as team leaders.
“I have a personal interest in both aviation and evangelizing STEM to students, and this event was a perfect combination of the two,” said Senior Manager of Software Development Michelle Proctor, one of the volunteers. “I especially liked seeing the light bulb go off for a young woman in my group. It’s moments like these that make every second of volunteering worthwhile.”
Another volunteer, Senior Associate Implementation Project Manager and student pilot Vatslav Orlov, said. “It was enjoyable to watch the students’ curiosity bloom throughout the event with an increasing amount of great questions. The variety of fun activities will likely make a lifelong impact on how they view the world of data and aviation, showcasing the power of science and how two different disciplines can be intertwined with one another.”
It’s impossible to predict where the next great innovator might be hiding. But programs like Data on the Fly help spark an interest in STEM in young people. With a little luck, one of the 25 students who participated in the event might be inspired to study aeronautical engineering, or simply to think about a career that marries analytics and aviation. The sky really is the limit.

“Today we were able to provide an opportunity for high school students to have a hands-on experience with technology around IoT, big data and the power of analytics,” Lee said. “They gained a broad knowledge of how aviation data plays a big role in getting an aircraft to its destination, and how the FAA uses that data to help make critical decisions. And being that North Carolina was ‘First in Flight,’ an aviation-related project just seemed like a natural fit.”

Email us: info@epoch.co.in
SAS Training & Placement Programs with Internship*:
  Epoch Research Institute India
Largest and Oldest SAS Training Institute
   Epoch Research Institute Links:
Epoch | Facebook | Twitter | LinkedIn
Epoch Research Institute India Pvt. Ltd.
Ahmedabad |   Bengaluru | Chennai
+91 79 40327000|+91 80 49077000|+91 44 42641500

Clinical SAS Programming | Data Science| SAS Training in Bangalore