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

In the world of Investment Banking, a financial model basically refers to a graphical representation of the financial situation of a firm. In other words, it is a mathematical mode, which is put together or designed by a professional, to highlight the performance of either, a financial asset, or any project or portfolio or a similar investment of the firm. These models are usually used so as to forecast the possible as well as potential changes, thoroughly financial in nature, for the company in question. It helps the firms make certain assumptions, about the performance of any particular project in the near future, like for instance what would the cash flow be like, of the said project. These models usually consist of calculations, analyzing and finally providing recommendations, all of which are based on the information gathered by the financial analyst . These financial models are also said to involve a score of balance sheets, profit and loss statements apart from the

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 about

The landscape of Data Analytics and Big Data Science, saw initial developments about half a decade ago. Since then the said advanced analytics market has shown various signs of immense growth and development. Currently, this field is expected to grow at an average of 26–30%, which is almost the double of all the other markets in the IT sector. This field has had a great, considerable impact on various business fields, as both analytics and big data have thoroughly revolutionised the way businesses function throughout the world. Today, almost every company has acclimatised itself to the amazing results that this sector has to offer. With more and more companies opting for various tools in data analytics, this sphere is becoming very important in terms of leading to crucial business decisions. Analytics is mainly used in various businesses including defence, crime prevention, governance, entertainment, education, transportation. Whereas Big Data finds its use in education, finance, tr

After going through an acute dormant phase for almost two long years, the field of Oil and Gas has again begun to see new developments on the mergers and acquisitions front. The dormant phase had been a result of the oil bust in around 2014, when a lot of banks had tightened the lending processes. This resulted in the various distressed drillers, buyers and sellers to remain at odds over the impending value of energy assets. But now, the tables seem to be gradually turning, what with the gold rush in Texas’ prolific Permian basin as well as the rising prices of crude oils, with an easing of the capital markets, have together resulted in the thawing of the persistent M&A freeze. The first two weeks of November saw a great upstream of oil and gas deal making, reportedly about $56.7 billion, as opposed tot he sluggish $26.8 billion, which was seen at the same time last year. While there have been a few deals, that have made headlines, these are especially in the midstream

Imarticus Learning is proud to announce its newest edition of info webinars, which will be in collaboration with EY LLP. In this webinar we will focus on the situation of distressed assets in India its various remedial measures. This webinar will be presented by Mr. Abizer Diwanji, Partner and National Leader-Financial Services and Restructuring, EY LLP. Abizer is a rank holder, Chartered Accountant with more than 15 years of sterling experience. He has managed and led a number of high profile and complex transactions, which contribute greatly to his deep understanding and practical experience of dealing with issues that arise in Indian transactions. Accompanying Abizer would be Mr. Rahul Srivatsa, Director - Restructuring Services, EY LLP. Rahul has extensive experience in diligence and pricing of stressed corporate borrowers and thus has a deep understanding of the legal framework and the practical experience of issues that arise in such transactions. Both of these speakers