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We shall talk about Business Analytics here. We will try to spend a little time on each of these slides and make sure that you understand every bit of it. We can pause the training in case there is any confusion. Nowadays, we usually hear a lot about buzzwords like data mining, machine learning, artificial intelligence, robot, etc. I have seen many companies talking about robotic process automation too. So, where do they come from? The statistical analysis of robotic process automation is one...

More than 80% of Data Science jobs demand three to five years of experience from you. But there’s no denying it; data science is the hot job of the future.

Albeit, you’ve got to be a pro from day zero!

Despite it being a new line of profession, data science commands huge money. Advertised jobs pay upwards of $80,000 on average, exceeding jobs requiring a university degree by over $8,000.

In short, data scientists earn top dollar for what they do.

And the Good News?

There’s still enough room...

The traditional J2EE application contains an excessive amount of code that does not have much importance in the application. Such an approach distracts the developers from focusing on the application’s business domain. Also, the J2EE applications are tough to take through the testing phase. Because of the problems, a tool-based code generation approach was adopted; however, it failed. With such experiences in mind, frameworks were introduced. Frameworks provide great flexibility during the...

Web development has come a long way in delivering functionalities online. Tremendous changes are happening both on the client-side technologies (like JS/Angular) and the server-side technologies (like Java/Spring). Not only AngularJS, but similar technologies like React JS and Vue JS also offer great scope in client development. Let us see what Angular has to offer in client development.

What is Angular and Why Angular?

Angular (2/4/5) is not a programming language like Javascript or...

Sentiment Analysis is the process of computationally determining whether a piece of content is positive, negative or neutral. It is also known as Opinion Mining.

Why Sentiment Analysis?

Sentiment Analysis is mainly used to gauge the views of public regarding any action, event, person, policy or product. It has become a very potent weapon even for politicians to assess the public reaction over their statements (also consider checking out this perfect parcel of information for data science degree

I got this really funny image on a whatsapp chat as a forward. What do you make of it?

This and many other similar jokes on the internet can lead you to think that programmers are this bunch of nerds who hardly have a reality check. On the contrary, they have a reality check. A mighty good one at that! I mean, who else you will go to but a programmer if you want your computers to do what you want them to do! These are the guys who write, design, test, debug and maintain the source code;...

Internet of Things was a not-so-popular term just a few years ago. Many people did not hear about it. A lot many didn’t even know that it was soon going to be part of their everyday lives in the form of devices. Today IoT devices are a normal feature. Wearable devices like Fitbit are not just health indicators but also fashion quotients.

IoT devices are everywhere and in every sphere – homes, agricultural fields, automobile sector, health care and medical fields, education, the list is really...

Big Data is probably the biggest generational shift in technology. It has impacted all segments of industry. It has been instrumental in driving better ROI for all kinds of companies. The benefits of Big Data for a better ROI are no longer left for guests. There is a lot of data to prove this. The emergence of various Big Data companies dedicated to specific services for specific industry segments further proves this.

One such industry which has benefited immensely from Big Data is the travel...

Big Data Analytics has made understanding data easier than ever before. The amount of data generated now is ten folds than that a few years ago. In fact, it is much more than ten folds. Drawing inferences and insights into patterns related to a business are both efficient and effective, thanks to Big Data Analytics. While it is exciting to know the minute details that good data can provide, it is also taxing to understand how best to present it. This is exactly what Data Visualization deals...