R language introduction and actual combat: there is a huge gap in big data talents, it is not too late to learn

The era of data has arrived, but there is a shortage of talents in data analysis and data mining. According to a detailed analysis report by McKinsey, the world's top management consulting firm, it
is expected that by 2018, the demand for jobs in big data or data workers will surge. Among them, the gap of big data scientists is between 140,000 and 190,000, and the gap for analysts and managers who know how to use big data to make decisions will reach 1.5 million!
Let’s first understand data analysis, which is a series of scientific processes of acquiring data, processing data, analyzing data, displaying data, and writing data structure reports driven by business purposes.
For this process, R has corresponding methods that can better handle and complete the content involved in data analysis. R is a free and open source language and operating environment. Its original intention is for statistical computing and drawing. However, what R language can do now has far exceeded its original intention and can be applied in many fields, such as data Mining, machine learning, social networks, bioinformatics, financial data analysis, etc. At the same time, R provides thousands of specialized modules and utilities, and is an excellent tool for obtaining useful information from big data.
Learn now: https://click.aliyun.com/m/24090/