Data Science

Data Science is a combination of statistics, mathematics, programming, decision-making, storing data in inventive ways, the ability to look at familiar things in a different way, and the actions of cleaning, preparing, and aligning data. Simply put, it is the umbrella under which methods for extracting valuable knowledge and information from data are gathered.

Our ability to capture social and economic benefits from newly created data is limited by a lack of expertise. Working with this kind of data requires fundamentally new skills and tools. Data corpora are so large that they cannot fit on a single computer, cannot be processed using traditional databases or statistical packages, and cannot be presented using standard visualization programs. Data has become more heterogeneous, in contrast to the well-systematized data of the past. Digital text, sound and video, sensor data, and blogs tend to be chaotic, incomplete, and unstructured. Often, little is known about their origin and quality, and they need to be combined with other data to be useful. Processing user-generated data also involves complex privacy, security, and ethical issues.

Source	Title	Abstract
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.
Forbes	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.
mc.today	It takes a month to plan a trip profitably: how tripmydream solved this problem	Many of those who are only superficially familiar with the field of tourism and the sale of air tickets in particular may genuinely wonder why Data Science is here at all (a set of specific disciplines from different directions responsible for analyzing data and finding optimal solutions based on them) - you take all the available tickets (tours, hotels) and sell. But everything, as you know, is in the details. It is Data Science that can help you make a decisive breakthrough where you seemed to have already tried everything.
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.
Glassdoor	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.
CareerCast	The Best Jobs of 2021	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.

Open lecture by Oleg Chertov

What is Data Science? What is studied in the new discipline "Machine Learning"? What is the structure of the new departmental master's specialization "Data Science and Mathematical Modeling"?
Answers to these and other interesting questions can be found in an open lecture by the Head of the Department of Applied Mathematics Oleg Romanovich Chertov, delivered to students of all courses of the department, teachers, and guests.

Recording