What does a data analyst have to learn? What knowledge do I need to master? If you want to be a data analyst, which specialty is better to apply for? I have organized the relevant content for you as follows, please check the content below with me to understand the relevant information of data analyst.

Data analysts have to learn mathematical knowledge, programming languages, and be able to proficiently use analytical tools, have strong business understanding, logical thinking, coordination **** with the same ability and the ability to learn, and be able to do data visualization.

Mathematical knowledge is the basics for data analysts. For junior data analysts, understanding some of the basic content related to descriptive statistics, a certain formula calculation ability can be, understanding the common statistical model algorithms is a plus. For senior data analysts, statistical modeling related knowledge is a necessary ability, linear algebra (mainly matrix calculation related knowledge) is also best to have some understanding. For data mining engineers, in addition to statistics, all kinds of algorithms also need to be used skillfully, the highest demand for math. So data analytics does not have to be very good at math to learn, as long as it depends on which direction you want to go, data analytics also has a bias for the "literary" side, especially girls, you can go in the direction of document writing this development.

For junior data analysts, they can write SQL queries, and if needed, Hadoop and Hive queries, which are basically OK. For advanced data analysts, in addition to SQL, it is necessary to learn Python, used to obtain and process data are twice as effective. Of course other programming languages are also available. For data mining engineers, Hadoop must be familiar, Python/Java/C++ must be familiar with at least one, and Shell must be used. In short, the programming language is absolutely the most core ability of data mining engineers.

Statistics throughout the entire process of data analysis, there is no statistical foundation, it is difficult to have a professional data analysis. The various steps of data analysis, all to use the knowledge of statistics. It can be said that data analysis is the application of statistics, mastering statistics is the basic skills of data analysts.

The information management and information statistics profession involves a wide range of knowledge, mainly through the study of computer technology and management, competitive intelligence and other disciplines, through computer technology to the massive amount of data collection and information processing, so that it becomes useful information, and then through the scientific principles of statistics on the filtering and analysis of information to form knowledge, the ultimate goal is to use the knowledge acquired to make the right decision. The ultimate goal is to use the acquired knowledge to make correct decisions. It can be said that the information management program is very suitable for the position of data analyst.

Data analysts need to have professional mathematical skills and rigorous logical thinking, and rigorous logical thinking comes from a solid mathematical foundation, so students majoring in applied mathematics are also more suitable for this job.

Economics majors need to learn the basic theory of economics and related basic professional knowledge, to understand the operation mechanism of the market economy, the academic dynamics of economics; with the use of quantitative analysis methods and modern technical means of socio-economic surveys, economic analysis and practical operation of the ability. The data analyst positions of this major counterparts are government comprehensive economic management departments, large and medium-sized enterprises, strategic planning and analysis of assistant positions, financial institutions, research assistant positions, consulting organizations, such as assistant consultant positions.

Data analysts often have to provide support for marketing decisions, which requires knowledge of marketing, data analysts with a marketing background will be clearer and more open.

Data analysis work is a multi-disciplinary professional in the enterprise decision-making in the comprehensive application, relying on a related professional, you can knock on the door of the career of data analysts, but to become a good data analysts, you need to long-term learning and precipitation, to achieve a multi-disciplinary professional integration.