Why is data science so popular today?

In short, today, it is not possible for any business to imagine a world without data. Data science is high in demand and explains how digital data is transforming businesses and helping them make sharper and critical decisions. So data that is digital is ubiquitous for people who are looking to work as data scientists.

Why do you like data science?

An answer I get often is: “I love being able to tell people what to do based on data”. My take on data science is a little bit different. I love data science for the journey rather than the results of it. The process of making something out of seemingly nothing delights me every time.

Is Data Science a hype?

Over the past couple of decades, Data Science, has been recognized as one of the most exciting IT domains in the world. These IT giants also do have their innovation centers here in India. When we look at the other side, there are very less efforts applied by Indian companies as far as AI grooming is concerned.

Why is data science in demand?

Demand for data science professionals is growing, as organizations maintain themselves through data-driven insights. While companies realize the value and power of Big Data, they thrive to use it to make better business decisions.

Is data science really the future?

You can think about the data increase from IoT or from social data at the edge. If we look a little bit more ahead, the US Bureau of Labor Statistics predicts that by 2026—so around six years from now—there will be 11.5 million jobs in data science and analytics.

How has data science evolved over the years?

Although data science isn’t a new profession, it has evolved considerably over the last 50 years. A trip into the history of data science reveals a long and winding path that began as early as 1962 when mathematician John W. Tukey predicted the effect of modern-day electronic computing on data analysis as an empirical science.

Is data science hard to learn?

Data Science is not a standalone field. It is comprised of several sub-fields. These subfields are Statistics, Mathematics, Computer Science and Core Knowledge. Data Science offers a steep learning curve and is difficult to master.

Why is there a shortage of data scientists in the world?

Due to this reason, there is a dearth in the supply of Data Scientists. Much of this is contributed by the infancy of Data Science as a field. There is a lack of ‘data-literacy’ in the market. In order to fill this vacuum in supply, you need to learn Data Science and its underlying fields. Data Science is not a standalone field.

What is data science and how can it help your business?

Companies need to use data to run and grow their everyday business. The fundamental goal of data science is to help companies make quicker and better decisions, which can take them to the top of their market, or at least – especially in the toughest red oceans – be a matter of long-term survival.