Free Data Analysis Courses

As handheld mobile terminals become more intelligent, many people begin to transfer their learning classes to their mobile phones, download college videos, install English learning software, and take out their phones anytime, anywhere. Some users said that this way of learning to make good use of scattered time, improve the efficiency of learning, but there are users think that the lack of learning of mobile phone learning system, comprehensiveness, the effect is not satisfactory.　　Experts say that mobile learning as an informal learning is a good supplement to formal learning, but to get a comprehensive, systematic learning, book knowledge and learning is necessary. User Large ...

Recently, I returned to attend some university seminars, government departments of the symposium and the training activities of enterprises, the theme is large data, nowadays, the major domestic newspapers and magazines are also discussing this hot topic, but I found that the Chinese society on the "big data" concept still some inaccurate understanding or even the concept of misunderstanding, In particular, the strategic significance of large data at the national level is underestimated and needs to be deepened. Small data to large data "big data" is a new wave of technology, but also gradually formed a historical phenomenon, its specific refers to the increase in the amount of information storage, the human in practice gradually recognized ...

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 ...

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 has developed a "overkill" analysis tool to advance the use of simple but efficient methods.

July 24, 2012, the theme of the "big-core Data Smart big opportunity" of the Intel Large Data Forum held in Beijing. At the meeting, 周震刚, a senior research manager at IDC's China Enterprise-level systems and software Research Department, shared a large data market observation. 周震刚 周震刚, senior research manager at IDC's China Enterprise-level systems and software Research department, says IDC has been taking the four themes of big data, cloud and mobile and social networking as the main direction for future it. IDC has been doing research on large data for about three or four years, and IDC China has been doing a thorough study of the big data market since last year ...

Assuming that the Internet can provide students with quality free education resources, then all universities have to answer parents a question--what is the cost to students and what is the best resource? On the evening of May 22, 2014, Xu, director of the Information Office of Shanghai University, threw out such a sharp topic on the "CIO Salon for cloud computing Big Data Industry". Indeed, with the development and popularization of MOOC (massive open online courses, a large-scale web-based open course), the traditional teaching model is being broken. Using cloud computing ...

Recently, the Guizhou provincial government issued the "on the acceleration of large data industry development and application of a number of policies" and "Guizhou province large data industry development and application Planning Program (2014-2020)." 　　Two documents pointed out that following the development path of "Foundation construction, cluster aggregation and innovation breakthrough", 2015 years, 2017 and 2020 were the main nodes, and three stages were used to promote the steady and rapid development of Guizhou large data industry. By 2015, large data industry base infrastructure has been built, 1-2 key areas of the large data service platform first prototype, through large data ...

"To promote France's development in large data areas through the development of innovative solutions and their use in practice." "--France 1. Propulsion power in February 2013, the French government issued the digital roadmap, listing 5 of the strategic High-tech that will be strongly supported, one of which is big data. The French government will target emerging companies, software manufacturers, engineers, information systems designers, and so on to launch a series of investment plans aimed at boosting France's growth in large data areas by developing innovative solutions and using them for practice. April 2013, French economic 、...

Absrtact: Large data, in fact, is not a new concept and phenomenon. As early as the 1980, the United States had a large data concept. Over the past more than 30 years, as a result of the progress of information technology, the data volume in various fields has been increasing rapidly, the United States business circles, academia also constantly "big data", in fact, is not a new concept and phenomenon. As early as the 1980, the United States has put forward the concept of "big data". In the past more than 30 years, due to the progress of information technology, the data volume in various fields has been increasing rapidly, and the corporate and academic circles in the United States are constantly discussing this phenomenon and its significance. The most ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; In the cloud before the landing, large data with a new look, in recent years, the word large data has been in the major media spell. In the next decade, the global data volume will grow several times, the size of large data, so large data in the field of education how to use? What kind of innovation will it bring to education? Now let's take a look at ...