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

Predictive analytics or predictive modelling can be defined, as a commonly used statistical technique to predict future behavior. The solutions provided here are a part of data mining technology, which works with the analysis of historical and current data, thus generating a model, which will aid in predicting future outcomes. It basically uses trends that have exited in the past and tries to apply them to the future, mainly to check their relevancy. Technology has somewhat achieved this phenomena already, although we still have a long way to go about it. Have you ever noticed, if you look for a certain product online, say in the morning, you get advertisements about the similar or related products throughout the day? For instance if a customer purchases a camera from any e-commerce website, then by default he would also become an instant customer for all of its accessories, while at the same time he’d want to buy, say a lens of the same brand, so no question of competition here.

If you’ve ever tried to decode, exactly what it is, that a Business Analyst does, you have to look no further and join this webinar, hosted by Imarticus Learning, which will focus on decoding the various nuances of this career track. The webinar will endeavor to go beyond just processes and systems and discuss the new and upcoming ways of innovation and leadership. Find out what makes the field of Business Analysis so unique and why it has garnered so much of importance in the recent times. Imarticus Learning hosts a #imarticusLive Webinar on careersin Business Analysis on November, 22 nd, 2016  Business Analysis is the process through which a change is brought about, specifically in the organizational context, by underlining certain needs and recommending solutions, which add value for the stakeholders in that particular firm. Thus it basically functions as a discipline, wherein a Business Analysts performs research in the core process of a firm, while identifying any

If you’ve ever tried to decode, exactly what it is, that a Business Analyst does, you have to look no further and join this webinar, hosted by Imarticus Learning, which will focus on decoding the various nuances of this career track. The webinar will endeavor to go beyond just processes and systems and discuss the new and upcoming ways of innovation and leadership. Find out what makes the field of Business Analysis so unique and why it has garnered so much of importance in the recent times. Imarticus Learning hosts a #imarticusLive Webinar on careersin Business Analysis on November, 22 nd, 2016  Business Analysis is the process through which a change is brought about, specifically in the organizational context, by underlining certain needs and recommending solutions, which add value for the stakeholders in that particular firm. Thus it basically functions as a discipline, wherein a Business Analysts performs research in the core process of a firm, while identifying any

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

Business Analysis is the task of understanding business change needs, assessing the business impact of those changes, capturing, analyzing and documenting requirement and supporting the communications and delivery of requirement with relevant stakeholders. -BA Training Solutions.  Business Analysts are said to be the link of communication between the IT and business stakeholders of a company. These professionals have a similar job to the architect, who has been given the responsibility of building a house on a newly purchased land. In this case, the architect will start from the basics, will go analyze the strengths and weakness of that land, approach professionals to provide help throughout the process and finally, construct the house. This is a similar way a Business Analyst works, but here the difference is that they work for building a company with the help of a computer system. The job title, ‘Business Analyst’ is more of an umbrella term to all those job pro

Making Agile work for organizations.  As the Agile bandwagon continues to grow, some organizations, previously reluctant to jump aboard, are running to catch up. Sometimes, though, Agile is implemented without much thought to unintended consequences of not having enough organizational commitment when adopting Agile. Although such things as not having dedicated teams, a dedicated business product owner, or extending time boxes to fit more work into an iteration sometimes works, there are often related issues, such as team burnout ,Less work being implemented & unmet customer expectations. Organizations will find a way to make Agile work for them by becoming more intelligent in how they choose to adopt it. As a related trend, we think that some of the Agile leaders will become more flexible, softening the “my way or the highway” approach in favor of one that is more collaborative. It means that organizations will have to articulate the business problem they are trying to solve

Unlike other areas, the rate of disruption in the data platforms and analytics is not so disruptive. Looks like it may take its own course of journey and for now the Presence of large existing vendors shall loom large. There are some evident trends which shall remain significant in affecting the growth of disruptions – The trends shaping data platforms and analytics in the coming year – Gradual enhancement of maturity index of predictive analytics; Clients users interest in a self-service methodology for data readiness Open source vendors and users are recognizing various parameters of data governance; Of course, most of these trends have been visible for some time now and none of them has the potential to disrupt the market in 2016, but all of them can be viewed as potential dashboards for some real time and imminent   changes that are happening within enterprises as they look to take advantage of the opportunities for generating business intelligence. The massive rate

Effective presentation is one of the most important skills which we need at a corporate level.  Mastering the art of presenting a topic needs lot of practice and delivery. Below are some of the points that can be considered while preparing for a presentation. Stick to your time limit – It is strongly recommended that the speaker should stick to the time limit. At the end of the day, nobody wants to be part of a presentation which is boring and taking too long to finish. You will lose the audience connect in this process. Understand your target audience – As a speaker, you should have a fairly good idea of who your audience is. If the crowd primarily consists of younger lot of people, you have to connect to them in a different way and make it very interactive to get the best result.  Don’t include lot of text in your PPT, use bullet points and then validate your point Articulate the major points rather than covering e

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 Sayak Bhanja. The workshop saw

The amount of money laundered globally in one year is estimated at 2-5% of the global GDP, or between a staggering USD 800 billion – USD 2 trillion, according to United Nations Office on Drugs and Crime. The expression ‘Money Laundering’ is of a fairly recent origin, with the term first appearing in the US in a newspaper in 1973. The term “money laundering” owes its existence to Laundromats in the United States that were owned by the Mafia. This was done by purchasing outwardly legitimate businesses and mixing their illegal earnings with the legitimate earnings received from these businesses. But other historians differ from this version. According to them, money laundering is called so, because it perfectly describes how dirty money is put through a cycle of transactions, or washed, so that it comes out at the other end as legal or clean money. In other words, the source of illegally obtained funds is disguised through a series of transfers and deals, such that those same funds