Why learning data science is important

In this post, we will learn about why learning data science is important in today's world. Let's take a look at this article. It says Data scientist: The sexiest job of the 21st century, and please know that this is coming from Harvard Business Review. So this is an authoritative source and it's the official source of this saying that data science is sexy. 

Data Science : The Sexiest Job

Again, you may be saying to yourself, sexy! I hardly think so. Well, oh yeah, it's sexy and the reason data science is sexy is that first it has rare qualities and second it has high demand. Let me say a little more about those. The rare qualities are that data science takes unstructured data then finds the order, meaning and value in the data. 

Those are important, but they're not easy to come across. Second: high demand. Well, the reason it's in high demand is because data science provides insight into what's going on around you and critically it provides a competitive advantage, which is a huge thing in business settings. 

Now let me go back and say a little more about demand. Let's take a look at a few other sources. So for instance, the McKinsey Global Institute published a very well known paper, and let's take a look at the bottom right corner. 

Demand for analytics professionals

Two numbers here. I'm going to zoom in on those. The first one is they are projecting a need in the next few years for somewhere between 140,000 and 190,000 deep analytical talent positions. So this means actual practicing data scientists. That's a huge number, but almost 10 times as high as 1.5 million more data-savvy managers will be needed to take full advantage of big data in the United States.

Now that's people who aren't necessarily doing the analysis but have to understand it, who have to speak data. And that's one of the main purposes of this particular data science course in Hyderabad is to help people who may or may not be the practicing data scientists, learn to understand what they can get out of data and some of the methods used to get there.

Let's take a look at another article from LinkedIn: The 25 hottest jobs skills that got people hired in 2014

LinkedIn article on hottest skills of 2014

Take a look at number one here, statistical analysis and data mining very closely related to data analytics and just to be clear, this was number one in Australia, Brazil, Canada, France, India, the Netherlands, South Africa, United Arab Emirates, United Kingdom.

If you need a little more evidence, let's take a look at Glassdoor, which published an article in the year 2016 , about the 25 best jobs in America. Take a look at number one right here. It's data scientists. It says 

Glassdoor article on data scientist being the best job in America

This article says it's going to be 1700 job openings with a median-based salary of over 116,000 and fabulous career opportunities and job scores. So if you want to take all of this together, the conclusion you can reach is that data science pays. And I can show you a little more about that. So for instance, here's the list of the top 10 highest paying salaries that I got from US news. 

Data Scientist Salary

We have Physicians or doctors, Dentists, Lawyers and so on. Now if we add Data scientists to this list using data from O'Reilly.com, it goes in third with an average total salary, of about $144,000 a year. That's extraordinary. So in sum, what do we get from all of this? First off, we learned that there is a very high demand for data science. Second, we learned that there is a critical need for both specialists and generalists. So those are the sort of practicing data scientists and for generalist people who speak the language and know what can be done and of course, there's excellent pay altogether. This makes data science a compelling career alternative and a way of making you better at whatever you're doing.

Hope it is clear why learning data science is important now !