Category Archive: online certification

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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Text Adventure – Using Control Flow In Python

Python wascreated by Guido van Rossum and first released in 1991.Python, as a programming platform, has gained a huge popularity within a short span of time because of its flexibility and the user-friendly interface. The software can be deployed easily for developing statistical models and machine learning algorithms

 
Text Adventure- Using Control Flow In Python
 

In fact, due to the advent of AI and ML, Python has a language has had a certain kind of rebirth as far as industrial use is concerned. Today, however, the focus is going to be on a particular section of the language, namely the control flow to create a basic system in Python.

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Bringing Back Science into “Data Science”

Far from the conventional science disciplines, like physics or mathematics, Data Science is a budding discipline: which means there are no proper definition to explain what data science is and what role it does play.

 
Bringing Back Science into “Data Science”
 

Nevertheless, the internet is full of working definitions of data science. As per Wikipedia, Data Science is


(an) interdisciplinary field about processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, which is a continuation of some of the data analysis fields such as statistics, data mining, and predictive analytics.

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5 Popular Uses of MS Excel for Better Business Growth

Microsoft Excel is one of the most significant computer software program making rounds in today’s workplace environment. More and more employees are being asked to hone their Excel skills in order to survive in the highly competitive market.

 

5 Popular Uses of MS Excel for Better Business Growth

 

From the employer’s viewpoint, especially those who are associated with IT, the use of Excel is gaining prominence and for all the right reasons. Not only it is being used by business professionals to carry out daily functional tasks but also a large chunk of experts rely on it for decision support.

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Tableau: The intelligent tool of business

Tableau: The intelligent tool of business.
 

Tableau plays a very crucial role in data intelligence, data representations, data visualizations, and data modelling. The time has gone when folks used to draw graph, charts, on excel and variant types of resources or tool. Because provide us live data source accessibility with number of data sources like – spark, Google Products, Social network, programming language (R,Python,JAVA) whereas tableau uses VIZQL in background to speed up the performance. So now the time is to move towards Business Intelligence.As of now, you don’t need to worry about either data or data sources.

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Here’s why SAS Analytics Is a Must-Have IT Skill to Possess

Without the great Analytical surge, everything was looking fit and fine. The economy was performing well. The IT industry was looking stable. The tech honchos were playing fine. And then IT happened! Data Analytics snatched the dazzling limelight all to itself.

 
Here’s why SAS Analytics Is a Must-Have IT Skill to Possess
 

It’s true once in a while, our market needs a good shaking, or else things tend to get sluggish and slow. Over time, the industries start decreasing in efficiency and business houses crumples. Therefore, the change induced by Big Data Analytics is one for good: it started pulling back the market to its former position. From medical science to military to security, the reach of Big Data Analytics can be witnessed everywhere.

 


 

The evolution of analytics is largely consistent and covers a wide span of industries. It’s not like it suddenly came into a lot of focus, its advancement was slow and steady. Now, it has strived to become extremely important to store, interpret, analyze and develop crucial insights – social media is deriving maximum benefits out of analytics, while customizing their products to make more money from advertisements. On the other hand, the service-oriented companies love to manipulate data that is generated through myriad social channels to trigger customer base.

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