Category Archive: online courses

Why Data Science Matters More Than Data Scientists?

More is always better, isn’t it? But does it always holds true, especially when it comes to customer data? Maybe not, because business is all about extracting meaningful insights from data, and if that cannot be acted upon then it is of no good.

 
Why Data Science Matters More Than Data Scientists?
 

Recently, Accenture concluded that one of the greatest challenges that marketers face nowadays is to discover the right ways to turn data into productive insights and then into action. For that, you would need analytics professionals who do know how to collect, store and integrate information, while mastering the technology aspect.

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Risk Analytics Market: Serious Growth Rate Projection for 2017-2021

Want to get to the core of understanding risk within various business frameworks? The answer is Risk Analytics. This new breed of data analytics facilitates organizations in precisely defining, recognizing and managing their risk, and its need is going to increase in the coming few years. New developments in risk analytics are gaining limelight and bringing a notable transformation in the market, while enhancing its overall capability.

 
Risk Analytics Market: Serious Growth Rate Projection for 2017-2021
 

Recently, a team of analysts had eureka moment – they introduced a new concept of real-time risk analytics – it is nothing but a modern, more advanced version of traditional risk analytics methods. Here, the prediction is based on real-time data – it processes, examines and determines risk all on a real-time basis – hence top notch financial institutions are putting real-time risk analytics to best use to manage and mitigate associated risks. Several asset management, portfolio management and hedge fund firms, and investment banks are relying on this mode of risk analytics to modify their operating principles to play in accordance with investment and market shifts.

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Credit Risk Modelling: A Basic Overview

Credit Risk Modelling: A Basic Overview

HISTORICAL BACKGROUND

The root cause for the Financial Crisis which stormed the globe in 2008 was the Sub-prime crisis which appeared in USA during late 2006. A sub-prime lending practice started in USA during 2003-2006. During the later parts of 2003, the housing sector started expanding and housing prices also increased. It has been shown that the housing prices were growing exponentially at that time. As a result, the housing prices followed a super-exponential or hyperbolic growth path. Such super-exponential paths for asset prices are termed as ‘bubbles’ So USA was riding a Housing price bubble. Now the bankers, started giving loans to the sub-prime segments. This segment comprised of customers who hardly had the eligibility to pay back the loans. However, since the loans were backed by mortgages bankers believed that with housing price increases the they could not only recover the loans but earn profits by selling off the houses. The expectations made by the bankers that asset prices always would ride the rising curve was erroneous. Hence, when the housing prices crashed the loans were not recoverable. Many banks sold off these loans to the investment banks who converted the loans into asset based securities. These assets based securities were disbursed all over the globe by the investments banks, the largest being done by Lehmann Brothers. When the underlying assets went valueless and the investors lost their investments, many of the investment banks collapsed. This caused the Financial Crisis and a huge loss of investors and tax-payers wealth. The involvement of Systematically Important Financial Institutions (SIFIs) and Globally Systematically Important Financial Institutions (G-SIFIs) into the frivolous lending process had amplified the intensity and the exposure of the crisis.

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10 Amazing Excel Templates to Help Maintain an Organized Budget

Managing a proper budget is an essential task. Professionals working in enterprises are somehow involved in performing this task to some degree. Fortunately, a handful number of budgeting Excel templates is available online – check out some of our favorites:

 

10 Amazing Excel Templates to Help Maintain an Organized Budget

 

Back to the basics, budget is something more than an educative, future projection of what should happen to a company’s financial position over a specific course of time, based on the latest trends, current data and previous history. The accuracy of the entire forecast depends on the quality of financial data accumulated during the budget period – it is here that a robust set of data collection tools saves the day.

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The Future of Risk Management: Triggering a Technology Dividend

Many factors are constantly shaping and reshaping the structure of risk management today – including global geopolitical inconsistency, macroeconomic headwinds and increasing number of cyber activities – which is extensively damaging and recurring. All this is leading to elevated risk perceptions.

 
The Future of Risk Management: Triggering a Technology Dividend
 

The nature of risks has changed over the years too, as well as the manner of addressing them. Today, to mitigate risk issues, technology plays a crucial role. Headwinds like global and Asian accelerating debt levels, lower projection of productivity growth, increasing levels of policy uncertainty and constant increase of US interest have created a lot of prominent macroeconomic challenges, especially in export-oriented Asian economies. Topping that, budding risks from technological advancements are on the rise, exposing industries to newer challenges like cybersecurity and data fraud.

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Cyber Value-at-Risk Model: Quantifying the Value-at-Risk

Cybersecurity attacks are the new potent threat to businesses. Diligent professionals and big mouth board members have started reviewing their company’s cybersecurity frameworks, while establishing better security controls and discerning deeper insights about the business impact of cybersecurity attacks: what kind of risks are they exposed to? Are they expending too much and need to curtail down? What amount of risk can be reduced using the proposed info security budget? Cyber-insurance, will it fetch better results?

 

Cyber Value-at-Risk Model: Quantifying the Value-at-Risk

What objectives to secure with Cyber value-at-risk models?

This is the epic question that has triggered the development of Value-at-risk models, especially in the domain of information security. Also known as Cyber VaR, these models are a game-changer. They offer a sound base for quantification of information risk coupled with infusing discipline into the whole process.

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Incredible Tech Transformation: How Machine Learning is changing the Scope of Business

Machine Learning coupled with data analytics is modifying the norms of how business handles crucial data. Insights into ML and AI is already reaping benefits in transforming vast pools of data – curated by dexterous data pundits into meaningful, relevant analytic results that would have escaped clumsy human analysis, previously.

 
Incredible Tech Transformation: How Machine Learning is changing the Scope of Business
 

Today, the combat weapon of Machine Learning has started to influence the entire business world. While many organizations have grasped the bounties of this hi-tech tool of learning, few are left to fathom how it would affect the way they do business. The automation process is a completely data-driven task – ideal to change enterprises into vendors – by turning lessons learnt into advanced algorithm programs worthy of licensing to software and service providers for good money.

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Discover the Best Industries to Have a Career in Data Science

Data fires up everything, nowadays. And data science is gaining exceptional traction in the job world, as data analytics, machine learning, big data, and data mining are fetching relevance in the mainstream tech world. By 2025, it is being expected that data science industry will reach $16 billion in value – this is why landing a job in data science domain is the next big thing!

 
Discover-the-Best-Industries-to-Have-a-Career-in-Data-Science
 

The skills you will imbibe as a data scientist would be incredible, powerful and extremely valuable. You can easily a bag a dream job in corporate moguls, like Coca-Cola, Uber, Ford Motors and IBM, as well as play a significant role in any pro-social or philanthropic endeavors to make this world a better place to live in.

Check out these extremely interesting fields you could start your career in data science:

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Microsoft Excel or Google Sheets: Which is better for Business?

Getting all work done from inside a browser through an internet-enable computer is no mean feat. Just after Google cracked the idea, Microsoft and Apple soon followed the bandwagon and developed online office suites of their own.

 

Microsoft Excel or Google Sheets: Which is better for Business?

 

So, do you think Google deserves the tag of top dog or should you give accolades to Microsoft for developing a feature-rich office suite?

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How to create Chart Templates with R Functions

R functions are used to produce chart templates to keep the look and feel of the reports intact.

 
How to create Chart Templates with R Functions
 

In this post you will come across how to create chart templates with R functions – all the R users should be accustomed to the calling functions so as to perform calculations and outline plots accurately. Remember what colors and fonts to use each time: R functions are used as a short-cut for producing customary-looking charts.

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