Data Science Career Prospects

First, the initial understanding of large data seems to be overnight, big data becomes one of the most fashionable words in the IT industry. First of all, big data is not a completely new thing, Google's search service is a typical large data use, according to customer demand, Google real-time from the global mass of digital assets (or digital garbage) ...

Data, generally refers to the use of scientific experiments, testing, statistics and other means obtained, for scientific research, technical design, verification, decision-making and other purposes of the numerical value. Through a comprehensive, accurate, systematic measurement, collection, recording, classification, storage of these data, and then through rigorous statistics, analysis, testing of these data, we can draw some very convincing conclusions. Large-scale, long-term measurement, recording, storage, statistics, analysis of these data, the vast amount of data obtained is large data. In the production of large data, the need for strict program design, variable control and integration ...

Whether you like it or not, the big numbers are here--the average annual salary of the following seven jobs will exceed $72,000 trillion, which will provide more than million jobs to the U.S. economy by 2020. Defining large data large data "is a fashionable word that has become a popular topic in the American public over the past few years. 　　From 2012 onwards, Google's search for big data has soared. The October 2012 Harvard Business School Review said: "Big data is a" management revolution, "The Wall Street Journal said in October this year that nearly two-thirds of companies in the coming year have ...

Data, generally refers to the use of scientific experiments, testing, statistics and other means obtained, for scientific research, technical design, verification, decision-making and other purposes of the numerical value. Through a comprehensive, accurate, systematic measurement, collection, recording, classification, storage of these data, and then through rigorous statistics, analysis, testing of these data, we can draw some very convincing conclusions. Large-scale, long-term measurement, recording, storage, statistics, analysis of these data, the vast amount of data obtained is large data. In the production of large data, the need for strict program design, variable control and integration ...

A report by the academician of the Chinese Academy of Engineering on the National Strategy for the implementation of large data points: "Although we are aware of the importance of large data, but not in a real sense to elevate it to a national strategic level to consider, we urgently need to develop a large data development plan at the national level, the big data into a national strategy. "Large data is a new industry with national strategic significance after cloud computing, Internet of Things and mobile networks, and has become an important strategic resource for the country." According to the McKinsey Global Research Institute, the large data brought by the new information technology application needs, will promote the whole ...

The scientific community has to play like Elon Musk. Cool idol? Of course, except that President Obama wants to "play" with him, I'm afraid every presidential candidate in the future will want to "play" with him, a superstar in the current American political circle, Nate Silver, who is known as "the perfect" in the eyes of the American public. 　　Prophecy, "His prophecy" is called the Oracle of Campaign predictions. This man has single-handedly defeated all the political journalists, political party media advisers and politicians, so that the study of the number of nerds have a good view, the Americans also said ...

The scientific community has to play like Elon Musk. Cool idol? Of course, except that President Obama wants to "play" with him, I'm afraid every presidential candidate in the future will want to "play" with him, a superstar in the current American political circle, Nate Silver, who is known as "the perfect" in the eyes of the American public. Prophecy, "His prophecy" is called the Oracle of Campaign predictions. This man has single-handedly defeated all political journalists, political party media advisers and politicians, so that the study of the number of nerds have a good view, the Americans also said Obama's ...

However, in recent years, the rapid transformation of scientific research field to data-centered, has a negative impact. In summary, the ability of competent scientific researchers and the ability of qualified industry practitioners are increasingly indistinguishable. The typically inert academic community has just begun to adapt to this shift, and other areas have already begun to scale up and reward this capacity. 　　Unfortunately, this has led to a lot of talented would-be researchers in academia, can only invest in the arms of the industry. The magic effect of data the 1960s, physicist Eug ...

The scientific community has to play like Elon Musk. Cool idol? Of course, except that President Obama wants to "play" with him, I'm afraid every presidential candidate in the future will want to "play" with him, a superstar in the current American political circle, Nate Silver, who is known as "the perfect" in the eyes of the American public. Prophecy, "His prophecy" is called the Oracle of Campaign predictions. This man has single-handedly defeated all political journalists, political party media advisers and politicians, so that the study of the number of nerds have a good view, the Americans also said Obama's ...

Many companies are beginning to pay attention to large data and data analysis, but the talent is difficult to find Ah! In fact, it's easy to train a new programmer to be a capable data scientist, just a few cloud servers, and then learn a few weeks of machine learning on the Internet with a data specialist. The most famous data scientist training case is the "Enterprise Prediction Solution Platform" Kaggle, the latest award winner, Carter S. The Kaggle user developed a "overkill" using a simple but highly efficient approach ...