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Is the Ethical Hacker Salary About to Witness a Big Boom in 2019?

The term hacking dates back to the era of Alexandar Graham bell where the hack was intended to get the insider information about how the system operated. With the advent of computers in our lives, the meaning of “hacking” altered to a greater extent.  It is worthwhile to know that the first hack of the […]

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What is Cyber Security & What Does it Mean in 2019?

Even when we take a conservative approach, the global cybercrime has become a $1.5 trillion economy. The figure may not sound staggering unless we relate to its economic aspect. What cybercriminals across the globe earn aggregately today is equivalent to Russian GDP in 2017. Such stats make it even more important to know what is […]

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Understanding the Theories & Applications of HR Analytics

While HR departments are generating data of tremendous volumes, variety, and veracity, every Human Resource the department is being questioned as to how they measure the talent. HR analytics proves to be the missing link between HR data and talent analytics. HR Departments struggled for decades to derive valuable insights from the piles of data […]

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Everything You Need to Know About Tuples in Python

Tuples in Python are gaining popularity & have become an inevitable part of Python. The meteoric rise in popularity index of Python has made it the leader of the pack of languages like PHP, SWIFT, and Objective-C. Since the last two years, Python has been competing for Number 1 position on the TIOBE Index with […]

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How is Data Science Career Path Profitable?

The existential need of Data scientists across multiple business verticals has grown radically by over 650% since 2012 as per the 2018 LinkedIn report. Despite the pressing demands, only 35,000 people in the US possess the market appropriate data science skills. While there are hundreds of giants who are incessantly hiring data science resources, there […]

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A Comprehensive Guide On Data Engineering

With the progress in the data space, data engineering has emerged into a separate role which works closely in collaboration with data science. These two go hand in hand to provide comprehensive solutions to add value to any business. Data engineering definition says that, a role which majorly focuses on the end application of collecting […]

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Bias Variance Tradeoff In Machine Learning

Data engineers are constantly involved in managing data as well as organizing the same. While doing this, they are also required to keep themselves updated regularly with the new trends and the inconsistencies which may significantly impact the business goals. Keeping this thought into consideration, we have come up with this post on bias-variance tradeoff. According […]

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