Imarticus Learning - Big Data Analytics Training Institute | Certification in Big Data

Artificial Intelligence could very well be included in the list of most discussed things, of the year 2016. But apart from the movie and some futuristic T.V shows; do we really know anything about the technicalities of this term? Regardless of you belonging to the field of I.T or not, you must have come across this term numerous times, especially in the newspapers in the context of all kinds of digital advancements. While few of us do know that this term is connected to the field of Data Science , there are slim chances of us knowing how. Let’s go ahead ans dispel the ideas of the Terminator movie coming true, from all of your minds. We’d be discussing the field of AI, as it is popularly known as well as, its various applications. So now what does AI really mean? Put in simple words, Artificial Intelligence is basically, the ability of any computer device, to display intelligence.  This intelligence can be anything from trying to imitate human intelligence or finding s...

The past couple of years has seen, the entire world get fired up all due to this concept known as ‘data analytics’. Data Analytics can be called as the small fish in the big pond that is known as Big Data. As you would understand by the term, big data is definitely very, very big. It refers to all of those virtual records of almost everyone that are present online. Now, these virtual records could be generated from any varied device, including a video game, a flight, any social networking site or a particular person’s online shopping cart. The best part though, is that every aspect of Big Data is very easy to acquire, due to the fact that it is either cheap or free. Did you know, that your entire data on a particular social networking site say Facebook can cost up to just a mere 12 dollars. This is exactly why extracting this data and collecting it has become the easiest things of this field, while at the same time, storing this huge data has become really difficult. Let’s move o...

Being a Data Scientist, your career path would pretty much be similar to that of someone belonging to the IT industry or more likely, it would depend on the company you are employed by. In the more traditional, generic sense of the field of any company and the various policies it follows, the general progression of climbing the proverbial ladder, would be pretty much the same. Here’s a list of the various, prospective positions, that you as a Data Analytics professional would find yourself working for. Analyst  The position of analyst, is more like the initiation position or the entry position, in the field of analytics. Any professional, who kicks off their career as an analyst, gets a chance to work in a team, thereby getting a chance to improve their domain expertise, as well as get to work with various data analytics tools like R Programming,SAS Programming, Hadoop and so on. For you to be employed as an analyst, you are required to have a basic, yet strong knowledge a...

Data Analytics, as a career has seen a lot of increasing demand, in the recent years of the IT driven world. This can be broadly referred to as the principle method used in the industry of Data Science. With its inception, about a few years ago, this industry has been making ripples in the virtual world. This field received a lot of takers, in term of companies wanting to hire trained professionals, as well as candidates looking to explore this, as a career option. Data Analytic s has been taking huge strides in the online marketing industry, with the whole concept of predictive analysis; this enables companies and firms to implement strategies that will provide guaranteed success and growth. Data Analysts or Data Scientists are those people, who are adept at performing magic with numbers. They are specialized individuals, who make use of certain tools to convert the data, into value based decisions and strategies. The various programming tools in this field are R Programming, SAS...

Risk management faces new demands and challenges in the IT age. In response to the spate of recent financial crises, regulators are insisting on ever more detailed data and increasingly sophisticated reporting. Do you want to meet regulatory requirements for credit risk? Or do you want to go beyond the requirements and improve your business with your credit risk models? If your credit risk is managed effectively, you should be able to do both. Big Data represents the  future of risk management  and can help Risk teams gain better intelligence drawn from a variety of data sources, in almost real-time. Join us to learn more about how Big Data can help you manage  risk in our power-packed 2-day executive development program ! Checkout summary of  our past Executive Development Program on Anti-money Laundering was held on 28th and 29th July at Novotel Hotel, Bangalore.  The 2-day workshop was conducted by our resident AML/KYC experts Ratan Postwalla and S...