Data science can be considered to be a new buzzword in the world of technology. Data scientists and big data engineers hold the promise of high pay and excellent job growth. In order to explore this beautiful world of data…

The insurance industry is a late bloomer in adopting cutting-edge technologies.

However, the rapid growth in the new-age technologies, such as AI, ML, blockchain, big data, cloud computing, IoT, is driving a shift in the insurance industry. The insurers are making strategies to…

Data visualization is one powerful arsenal in data science.

Visualization simply means drawing different types of graphics to represent data. At times, a data point is drawn in the form of a scatterplot or even in the form of histograms and statistical summaries. Most of the displays shown are majorly descriptive while the summaries are…

Companies and businesses around the world have been forced during the last year to shift their activity online. This is because people are spending more time online than ever. There, you can promote your business, organize contests, connect with customers, and improve your brand awareness. At the base of all these…

Perhaps most organizations already know what to do with the data gathered. The data is used to make better decisions at work, right? But do you have all the skills needed to parse swaths of data thrown at you?

Well, you might not need to do the digging all by yourself, but you do need to know how to correctly interpret the analysis created by your data…

Big data analytics is concerned with examining data to uncover correlations, hidden patterns, customer preferences and market trends that can enhance decision-making. People are advancing the data science careers to become data analysts and…

Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the effect of analytics is only seen if it can bring meaningful change. …

Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the effect of analytics is only seen if it can bring meaningful change. …

There’s a good chance that by now you have heard this famous saying: Data is the new oil. We are, after all, generating more data than ever. Don’t believe it? Then how about the fact that over 90 per cent of the total data in the world was generated just in the last two years. Yes, sir. Anyway, but what do we do with all this data? Well, we…

Most companies have big data but are unaware of how to use it. Firms have started realizing how important it is for them to start analyzing data to make better business decisions.

With the help of big data analytics tools, organizations can now use the data to harness new business opportunities. This is return will lead to smarter business leads, happy customers, and higher profits. Big data tools are crucial and can help an organization in multiple ways – better decision making,…

Harvard Business Review has declared data science as the ‘sexiest profession of the 21^st century’, and rightfully so. Keeping in mind, the amount of data being generated each day, the future scope of data science is bright, in fact, very bright. Students of technology, business, economics, mathematics, computer science, and the related subject domains, are all eligible to prepare for a data analyst role.

In the U.S., it is expected that there will exist 2.7 million openings…

If you were to invest in real estate, what would be the most important factor you’d take into account? Would it be the age of the building, its location, or maybe how many owners it previously had?

While all of the above will certainly be important to you (though to varying extents), there’s one universal factor that will either be a deal-breaker or make you want to go all in.

You’ve guessed it — the price.

We all have a rough overview of…

Mobile app development is a popular service offering today – thanks to the immense popularity of a mobile phone in people’s lives. And it would be disastrous for companies not to leverage this opportunity if they still haven’t addressed it. So, to make use of this ever-growing avenue more and more, organizations all over the world are rushing to embrace this trend. However, they also understand that merely developing a mobile app is not nearly enough, i.e., if they genuinely want an edge…

Over the years I’ve often been asked by beginners where they should start in statistics, what they should do first, and which parts of statistics they should prioritise to get them to where they want to be (which is usually a higher…

Since technical debt has become a central part of my recent professional challenges, I started writing a series of installments regarding this topic.

Do not expect any extensive and detailed work in here, if you need it you can get it googling it or from your favourite online content source.

Just expect more a light work crafted from…

If you have learned temporal parallelism used to speed up CPU execution, you came across instruction pipelines aka pipeline processing. In pipeline processing, you will have many instructions in different stages of execution. The term "Data Pipeline" is a misnomer representing a high bandwidth communication channel used for data transportation between a source system and a destination. In certain cases the destination is called a sink. Pipelines by definition allow flow of a fluid…

In the past few years, Big Data has emerged as a prospective game-changer for organizations of all sizes and across all industries. Possible – and actual – use cases include better customer targeting, improved employee hiring and benefits, better ad targeting, and reduced overall costs.

This growth in demand for Big Data has meant that a number of people now want to either get into or grow further in the data science industry. One of the most popular routes…