Imarticus Learning
India’s leading professional education institute, offering certified industry-endorsed training in Financial Services, Investment Banking, Business Analysis, IT, Business Analytics & Wealth Management
The concept of online courses is fairly new for our society but, one thing is certain, that these courses have revolutionised the way we learn things. The fundamental difference between an online course and a traditional classroom course is the emphasis the learner. In any traditional lecture, conducted in a class the students sit passively and try to absorb all the knowledge that the instructor provides. While on the other hand, online courses put the student in the centre of things. Here everything is entirely based on you, the candidate is given all the liberty to choose what they want to study, how they want to study as well as to test themselves, right after learning any particular concept. This is not the only difference, another very important distinction, which makes these online courses very lucrative, is the lack of any time bound aspect. A student can not only take the course at their convenience, but also has a world of resources to supplement their knowledge. This makes the concept of traditional classroom courses very bland, with just a teacher and blackboard.
Finance is one such field, where just having a background in any finance related subject, never cuts it. If you are a professional wanting to make it big in one of the most challenging fields out there, you would be well aware about this. Here it is almost mandatory to have specialization certifications for someone, who’s looking to make a sterling career in Finance. This is where online courses in finance come to the foremost, as they are the best bet for professionals who would want to pursue a course, which does not restrict their schedules as well as provides them with relevant information. These professionals usually expect an online course to supplement knowledge with real time examples, like case studies and other experiential teaching techniques. Apart from this professionals also looks for a course, which equips them with the technical tools as well as soft skills to cut it in the real competitive world. There are some institutes like Imarticus Learning which offer online courses that meet all the expectations of these professionals. Imarticus is a learning institute offering both online as well as classroom courses in the field of Finance and Analytics, which are tailor made to suit the needs of various candidates. What sets these online courses apart is their new age understanding of the mind of a student. These courses tend to supply exactly what a student needs, at any time the student would require it. It would be very safe to say that these online courses are all that classroom courses are, but also are so much more. Some very unique features make their way here, like various online discussions, where a student can get to associate with someone, who is a renowned individual in their field. This is something that does not take place quite often in the classroom lectures, at the maximum one would be able to experience either one or two guest lectures. Class room lectures come shackled with the monotony of one sided monotony, with rarely any input from the other end. While on the other hand, online courses exist on the basis of a two-way interaction between the students and lecturers. One does not have to meet any eligibility criteria when it comes to online courses. This is why the purview of these courses has expanded to almost every single educational field there is.
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While the world of American politics is not a stranger to the field of big data, what with Barack Obama’s presidential victory, proving to be the foreground for the win of big data in accurately predicting the results of that iconic election. But when it came to the 45th Presidential Election Of The united States Of America, the tables were turned over resulting in exactly opposite circumstances of what was being predicted. How did this contradictory turn of events come to be? In spite of so many experts all over the world, reiterating Hillary Clinton’s victory time and again, it was utterly mind boggling to see the popular opinion back up Donald Trump, resulting in his sweeping victory. Going into the technicalities of this scenario, one can refer to a very popular theory in the field of computer science, this theory is “garbage in, garbage out”; this basically goes on to highlight the negative aspects of bad data. For instance, when it comes to mega giants of the world of technology like Facebook and Google; both these companies use clean, refined data to feed into their algorithms, which helps their computers accurately recognize even a cat. That’s probably is something that did not happen during the elections this time, as a lot of experts believe that data crunching can be only as good as the data being used and would be entirely pointless if bad data was involved. While companies like these are able to work with this clean data, but when it comes to polling data, it is an entirely new dynamic. In terms of the recently concluded US election, the leading daily Washington Post reported that the data analytics, used by Hillary Clinton’s team was a custom algorithm called Ada. This basically helped her team figure out where best could they dedicate their resources on the basis of the polling numbers. On the other hand Trump’s team relied more on the primitive methods, when it came to distributing their resources. Instead of depending on the poll numbers, they decided to take decisions based on the emotions of the audiences at his rallies and other other campaign events. Doing this actually resulted in Trump’s victory in Pennsylvania, where the polls has initially predicted Hillary to win. In spite of being so accurate in nature, polling data at its very core, is based on the person’s honesty. Another fact to be noted here, is that most of those who support Trump have a deep seated apprehension towards the national media and also have intense suspicion towards Hillary Clinton. While there are a lot of theories based on this surprising turn of events, where the poll data actually might have been the bad data that the data analytics industry warns all about. These ‘undercover trump voters’ or basically people who did support Trump but lied to the polls about supporting Hillary, could have been the potential game changers in this year’s elections. While speculations are rife as to how could so much data be misleading, one thing is sure that America has made their choice and elected Donald Trump as the most powerful person in the world. Both the presindential candidates had an expert team of data analytics professionals, who helped them in devising their respective campaigns. With the growing popularity of this industry, more and more people are looking to get trained in data analytics. This has sparked the presence of many training like Imarticus Learning offering courses in various tools of data analytics like R Programming, SAS Programming, Hadoop and so on. Stay tune with us for updated news: Corporate finance, which encompasses Investment Banking and Research, is the field of finance which deals with financial decisions that business enterprises make and the tools and analysis used to make these decisions. Investment Banking has got to be one of the most glamorous and aspirational careers in Finance - The biggest deals on Wall Street and other stock markets in the world are brought to the table by investment bankers and they are virtually behind all financial transactions that move the stock markets including security offerings, mergers and acquisitions and IPOs. Our specialized programs on Corporate Finance cover all the bases on both the buy side and sell side of investment banking. We offer comprehensive offerings on Investment Banking basics, Sales and Trading, Raising Capital through IPO, Valuation, Financial Modeling, Underwriting and Market Making activities, M&A, Pitch Book Preparation, and Restructuring, as well as niche subjects like valuation of distressed assets and MBOs. We also deep-dive into Equity Research and Credit Research keeping in mind the skill-sets that the industry expects and demands. Regardless of which programs you select, all of them aim to provide a strong foundation of financial theory balanced with practical application using a case study methodology, allowing candidates to build competence and confidence. Our Trainers (Indicative Profiles):
Financial Modeling refers to a process with the help of which, professionals are able to calculate the financial strength of a firm, in various situations. According to Investopedia, “Financial modeling is the process, whereby a firm constructs a financial representation of some, or all aspects of the firm or any given security. Financial models are usually characterized by performing calculations and providing recommendations on the basis of that information”. These financial models can range from simple calculations to complex structures, which can take up to hours to run. A basic financial model would refer to that excel file you use to project your income and expenses of any given month. Financial models are extensively used across the world for various purposes, mainly business planning. These models basically help in providing answers to certain questions, that would be very important to the business in the long run. For instance it could be regarding the probability of it being profitable to offer new credit cards to existing users, or the way a business model would look after the acquisition of a competitor. While constituting a financial model can help you achieve certain results in terms of expanding your business, there are a few fundamental challenges that one might face. While this process is pretty simple, there are some mistakes that may make it seem like its a bit difficult. One of the most common mistakes is using of the financial model for answering questions related to overall profitability of the firm. When it comes to just one specific problem, a financial model is the best bet, as they offer the most question specific insights. Here all the decisions that are taken, are based on some sort of inputs and assumptions. But this does not mean that hard coded values for assumptions and start collecting inputs from various places, because that may lead you to wrong decisions. Thus it is always advised to call out all the inputs and assumptions in one singular sphere and then, linking of the code in accordance with the same. Another reason for the occurrence of errors is the fact that analysts, tend to look at the financial model as a mathematical exercise. This leads to them not tying up numbers or models impact of changing numbers, which lead to bigger glitches. It basically about looking at the big picture while taking care of the most miniscule of details. When it comes to the applications of financial models, the more structured approach is always preferred. It basically deal with first understanding the business requirements, then going on to finalizing dimensions and granularity, which takes one to the next step of applying business logic so as to ensure consistency. Then comes the process where you involve your customers by testing certain scenarios and finally the documentation of the very model. Once the documentation is done, your model is very much ready to roll out. These challenges are faced by quite a number of people, which is why they turn to experts in the form of various institutes which specialize in programs of financial modeling. Imarticus Learning is one such institute with its industry oriented curriculum and expert driven courses as well as their experiential learning. |
About ImarticusImarticus Learning is a education institute based in Mumbai. We offer certified industry-endorsed training in Financial Services, Investment Banking, Business Analysis, IT, Business Analytics & Wealth Management. Archives
December 2018
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