"Data analysis" became "golden" in the big Data age

The world is moving into a big data age. The "Big bang" of data generated by the Internet and smartphones has spawned new jobs-"data scientists"-that extract and interpret massive amounts of data. The Wall Street Journal reported that 3 years ago, the job title of data scientists is largely non-existent and is now one of the hottest jobs in the High-tech labour market.

In many companies, data analysts are a necessary position to have a huge amount of data to analyze, and companies that seem irrelevant to data need data analysts to analyze and help make better decisions. With the huge demand for talent, data scientists have become "sweet cakes," and a scramble to find or train "data scientists" is set in the United States.

U.S. Business analytics software and service provider SAS Greater China President Wu Xishi told the newspaper reporter, big data needs to be big analysis, big analysis needs new technology, but the enterprise still needs the talented person. In the large data age, data scientists and other analysis of talent demand will surge, the early start of talent reserves will be a steady development of the enterprise one of the advantages.

Data scientists need a unique combination of skills, but the current talent is so scarce that they are called unicorns. The Wall Street Journal says the ideal "data scientist" not only has traditional market research skills, but also the ability to find patterns in millions of data fragments from different sources, to infer consumer behavior through these laws, to find the trigger point of consumer behavior and to write statistical models. For example, on an E-commerce site, a biostatistics doctor has been digging medical records to study the early signs of breast cancer over the past few years, and now he is writing a statistical model for the site, inferring what terms people use on the site to search for new fashions They see on the street. In a mobile payment start-up, a PhD in cognitive psychology, which compiles statistical models and studies how people's political beliefs change, now specializes in people's behavior patterns to determine which retailers are more likely to encounter customer requests for returns.

The following figures can show how scarce the data talent is. Recruiters say a Ph. D. Data scientist usually has a starting salary of six digits and can easily earn 200,000 to 300,000 dollars a year after working two years. On the American social networking site (LinkedIn), there are 36,000 jobs for data scientists. At the end of last year, 6,000 companies were recruiting data, according to data from another website.

See the market for the pursuit of data professionals increasingly fierce, many universities began to set up specialized data analysis category. In the past year, at least six American universities, including the University of Virginia, Columbia University, Ohio State University, have opened or announced plans to open a postgraduate training program in Data science. For example, the University of Southern California Marshall School of Business offers a master's program in commercial data analysis. The first line of the project is that business data analysis is now the fastest growing area in the United States.

The big data revolution will profoundly affect people's work, life and thinking, analysts say. "Data has penetrated into every industry and business function today," McKinsey, a world-renowned consultancy, notes that large data is a "new Frontier of innovation, competition and productivity", a transformative influence, a factor of production in the digital age and a source of competitive advantage. There is no doubt that the important value of large data is becoming more and more prominent, and data analysis will become a "golden" in the 21st century.