In Puyang, the places to train data analysts are: Enterprise Win Big Data Training Institute, TranSwitch Big Data Training Institute, Product Handshake Big Data Training Institution, TranSwitch Big Data Training Institution, Dark Horse Big Data Training Institution. Specifically introduced as follows:

1, enterprise win training institute:

Enterprise win training institute's advantages, the enterprise's own case and the industry benchmark enterprise case combination, the lecturer targeted to explain; years of research and development enterprise R & D practice and product management experience summary, the course system comprehensive. From market demand to product planning, the whole process of specific tools and methods are introduced; the group approach to practical exercises to experience the above tools in the market demand analysis, product planning in the application.

2, TranSwitch Training Institute:

TranSwitch Training Institute in the summer of each year to organize the "national university IT backbone teacher training" exclusive host by the Ministry of Industry and Information Technology, Software and Integrated Circuit Promotion Center held the "National Information Technology Shortage Talent Training Project (Software Development and Application) National Backbone Teachers Summer Workshop", *** there are 195 colleges and universities of 617 teachers to participate in the training.

3, product handbook data training institutions:

Product handbook data training institutions have a completely real Internet corporatization teaching system, BAT product experts (positions higher than the director) full-day face-to-face, a full range of product dry goods and practical experience guidance, according to the individual's actual work experience directed to cultivate a specific direction of the product manager.

Product experts face-to-face teaching, interactivity is strong, can more quickly attract product knowledge; five days a week of off-duty learning, learning persistent, omnidirectional enhancement of the comprehensive ability of the product; each limited to 15 people in the classroom, the boutique small class, more targeted training of each student.

4, Chuan a data training institutions:

Chuan a data training institutions have independent research and development of a full set of theoretical teaching materials, project manuals, as well as perfect project management system and MOOC online teaching platform. Under the leadership of such a perfect academic precipitation, thousands of people have been successfully employed, and at the same time, it has gained the recognition of many well-known enterprises in the province;

It has signed the talent strategic cooperation with StarNet Riptide, NetDragon, RuiNeng, WanLiDa, XinNuo, Xiamen, Yaxun, Jurong and other well-known enterprises, and has implemented the internal training of the staff of many large-scale enterprises, such as NetDragon, China Post, EVERYTHING Technology, Hitachi Group, etc. High-quality teacher team ensures the success of the training program, which is the first time in the history of the company. High-quality faculty team to ensure that the high level of transmission of a high level of technology, high quality teaching.

5, Dark Horse high-end big data training institutions:

Dark Horse high-end big data training institutions have established their own university, to create a full set of education ecological chain covering primary and secondary basic education, vocational education, continuing education, from the beginning of the initiation of education to the adult vocational application of the education, from the fundamental solution to the "people" for the purpose of the "people". The company's main goal is to create a systematic education and training program for the "human" unit.

Extended information:

Skills requirements for data analysts:

Data analysts:

1, understand the business: engaged in data analysis work will need to understand the premise of the business, that is, familiar with the industry knowledge, the company's business and processes, it is best to have their own unique insights, if detached from the industry knowledge and the company's business background, the results of the analysis will only be out of the line of the kite, there is not much use value.

2, understand the management: on the one hand, to build the data analysis framework requirements, such as determining the analysis of ideas need to be used to guide the marketing, management and other theoretical knowledge, if you are not familiar with the theory of management, it is very difficult to build a data analysis framework, the subsequent analysis of the data is also very difficult to carry out. On the other hand, the role of the data analysis conclusions for the data analysis to put forward a guiding analysis of the recommendations.

3, understand the analysis: refers to the mastery of the basic principles of data analysis and some effective data analysis methods, and can be flexibly applied to practical work in order to effectively carry out data analysis. Basic analytical methods are: comparative analysis, group analysis, cross-analysis, structural analysis, funnel plot analysis;

Comprehensive evaluation analysis, factor analysis, matrix correlation analysis. Advanced analysis methods include: correlation analysis, regression analysis, cluster analysis, discriminant analysis, principal component analysis, factor analysis, correspondence analysis, time series and so on.

4, know the tools: refers to the mastery of data analysis related to common tools. Data analysis method is the theory, and data analysis tools is to realize the theory of data analysis method tools, in the face of more and more huge data, we can not rely on the calculator to analyze, we must rely on powerful data analysis tools to help us complete the data analysis work.

5, know the design: know the design refers to the use of charts and graphs to effectively express the analytical views of data analysts, so that the results of the analysis at a glance. Chart design is a university question, such as the choice of graphics, layout design, color matching, etc., all need to master certain design principles.