Learn SAS Big Data credentials equal big professional value with Epoch SAS Training (www.epoch.co.in)

SAS Big Data Analytic's: SAS Authorised Training Partner Epoch Research Institute (Ahmedabad | Bangalore|Chennai)

What Is Epoch?

Established in 2009, Epoch Research Institute India Pvt Ltd., is one of India oldest SAS Accredited training partner imparting SKILLS and TALENT DEVELOPMENT, offers multi-disciplinary LEARNING MANAGEMENT, TRAINING, on SAS to individuals, corporations, institutions, across pan India. It has become known, in particular, as a one of primer institute providing quality SAS Training over the years. Along with SAS we offer more than 150 programs  on ILT and e-learning platform.

In Addition to SAS Training Epoch also offers BUSINESS CONSULTING, STAFFING SOLUTIONS, & SAS SOFTWARE RESELL through its division “Epoch Technology & Consulting Services”. We state of art highly developed offshore and near-shore facilities, experienced team of domain specialists. Our innovative approaches to customer experience management & delivery has been a catalyst in sustaining long-term customer engagements. 

What is Big Data?

Big data is now a reality: The volume, variety and velocity of data coming into your organization continue to reach unprecedented levels. This phenomenal growth means that not only must you understand big data in order to decipher the information that truly counts, but you also must understand the possibilities of big data analytics.

Why is big data analytics important?

For years SAS customers have evolved their analytics methods from a reactive view into a proactive approach using predictive and prescriptive analytics. Both reactive and proactive approaches are used by organizations, but let's look closely at what is best for your organization and task at hand.

Reactive vs. proactive approaches

There are four approaches to analytics, and each falls within the reactive or proactive category:

Reactive – business intelligence: In the reactive category, business intelligence (BI) provides standard business reports, ad hoc reports, OLAP and even alerts and notifications based on analytics. This ad hoc analysis looks at the static past, which has its purpose in a limited number of situations.

Reactive – big data BI: When reporting pulls from huge data sets, we can say this is performing big data BI. But decisions based on these two methods are still reactionary.

Proactive – big analytics: Making forward-looking, proactive decisions requires proactive big analytics like optimization, predictive modeling, text mining, forecasting and statistical analysis. They allow you to identify trends, spot weaknesses or determine conditions for making decisions about the future. But although it's proactive, big analytics cannot be performed on big data because traditional storage environments and processing times cannot keep up.

Proactive – big data analytics: By using big data analytics you can extract only the relevant information from terabytes, petabytes and exabytes, and analyze it to transform your business decisions for the future. Becoming proactive with big data analytics isn't a one-time endeavor; it is more of a culture change – a new way of gaining ground by freeing your analysts and decision makers to meet the future with sound knowledge and insight.

With SAS, you can truly change operations, prevent fraud, gain competitive edge, retain more customers, anticipate disease outbreaks or run unlimited budget simulations – the possibilities are endless.

§  First off, if you have certified big data skills, the general consensus is that you will find a “competitive and thriving market.” That’s good news.

§  The most compelling statistic for SAS certification holders is that SAS grabbed two of the top 5 spots out of 60+ certifications surveyed. A full list hasn’t yet been released, but often follows the survey by a few weeks.

§  Over 730 certified individuals were surveyed and more than 40% hold two or more active big data certifications.

§  In the US, 52% of the respondents reported receiving a raise within a year after earning their first certification. The same goes for 35% of international respondents.

§  40% of respondents say they use the skills learned or enhanced through certification every day.

§  When asked “What was the first Big Data Certification you earned?,” 15% answered SAS Predictive Modeler, while 13% said SAS SBA Certification.

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SAS Big Data Analytics - EpochSASTraining

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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.

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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.

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Largest and Oldest SAS Training Institute

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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.”

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Clinical SAS Programming | Clinical Data Management | SAS Training : Epoch Research Institute India Pvt. Ltd.(www.epoch.co.in)

Clinical SAS Programming | Clinical Data Management | SAS Training : Epoch Research Institute India Pvt Ltd. (SASAuthorised Training : Ahmedabad | Bangalore)

Epoch Research Institute provide following support for their project delivery using SAS Technologies such as Base SAS, SAS/Macro, SAS/SQL, SAS/Report, SAS Business Intelligence, SASClinical Data Integration etc.

• Development of various reports for CTD submissions.
• Automation of table generation of Demographic Data and many more.
• Clinical SAS/Statistical Programming
• Clinical Data Management
• Development of Reports, Listings & Graphs
• Technical Support for Technical & Logical Queries
• Data Integration, Mining & Date Warehousing
• Customized Application Development
• Full & Partial e-CTD Submissions

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