Data Science Future

Data are everywhere. In fact, the amount of digital data that exists is growing at a rapid rate, doubling every two years. An article by Forbes states that Data are growing faster than ever before and by the year 2020, about 1.7 megabytes of new information will be created every second for every human being on the planet.

Data Science is the combination of statistics, mathematics, programming, problem solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.

In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.

Our ability to derive social and economic value from the newly available data is limited by the lack of expertise. Working with these data requires distinctive new skills and tools. The corpuses are often too voluminous to fit on a single computer, to manipulate with traditional databases or statistical tools, or to represent using standard graphics software. The data are also more heterogeneous than the highly curated data of the past. Digitized text, audio, and visual content, like sensor and blog data, is typically messy, incomplete, and unstructured; it is often of uncertain provenance and quality; and frequently must be combined with other data to be useful. Working with user-generated data sets also raises challenging issues of privacy, security, and ethics.




  Harvard Business Review

Data Scientist: The Sexiest Job of the 21st Century

Hal Varian, the chief economist at Google, is known to have said, “The sexy job in the next 10 years will be statisticians. People think I’m joking, but who would’ve guessed that computer engineers would’ve been the sexy job of the 1990s?”

If “sexy” means having rare qualities that are much in demand, data scientists are already there. They are difficult and expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren’t a lot of people with their combination of scientific background and computational and analytical skills.


Is Being a Data Scientist Really the Best Job in America?

The big data and analytics revolution is only just getting started, and companies are crying out for talent that can help them unlock the insights hidden in their data. Recognition of the benefits will encourage more people to consider a career in a field where new blood is desperately needed.

IEEE Computer Society

Data Scientist

Here, I consider a new IT-created employment opportunity—the data scientist. First, I look at data, information, and knowledge, and current IT job classifications to provide a context for the coming changes. Then, I define big data, which has given impetus to data science. Finally, I define what data science is currently thought to be and what data scientists do.


50 Best Jobs in America

It’s official—data scientist is the best job in America, according to users of online employment analysts Glassdoor in 2016 and 2017.

Glassdoor’s service allows employees to anonymously rate their jobs and their employers, awarding scores for how well they are paid, treated, and helped to advance in their careers.


The Best Jobs of 2016

The high demand for data scientists and statisticians comes from a growing emphasis on collecting and evaluating massive quantities of data. The opportunities for professionals trained in these fields are tremendous, as the IT sector, healthcare, business—and any sector that collects consumer information can put these numbers to use.

Data science is a relatively new field, which promises to revolutionize industries from business to government, health care to academia. A growing number of universities offer data science degree programs.