Tag: Data Science

It’s no mystery that data opens many new doors for both the disruptive data unicorns of the 21st century and traditional ...

Organizations are constantly at risk of paying a hefty penalty for not complying with rules and regulations that dictate how ...

A person who is really into data will start seeing numbers living and breathing all around them. The shortcut to demonstrating ...

Adopting a microservices architecture is not a one-size-fits-all approach. Despite being less and less popular, a monolith has its strong ...

Data scientist is a loosely used term, a title that’s heavily abused in the industry. Quite like Big Data or, say AI. In practice, ...

Here we discuss why retail is positioned to reap the biggest benefits of data analytics today. Organizations are using advanced analytics ...

Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep ...

Hypothesis Tests, or Statistical Hypothesis Testing, is a technique used to compare two datasets or a sample from a dataset. ...

The four “Vs” of data are well known – volume, velocity, variety and veracity. However, Data Warehousing infrastructure in many ...

As organizations continue to evolve their information strategy and find innovation opportunities, many seek to generate value through data monetization. Self-Service ...

Young Data Scientists provide tremendous value to companies. They’re fresh off taking online courses and can provide immediate help. They’re ...

Linear regression is a linear approach to modelling the relationship between a dependent variable and one or more explanatory variables. In simple linear regression, a ...