CPDA,cpda,,Your mind is full of CPDA, do you have a good way to learn?

CPDA Data Analyst...

Being able to make up your mind to study and take exams is already very powerful. CPDA Data Analyst is a practicing certification in the domestic data analysis industry. The CPDA certificate is also a practicing certificate in the data analysis industry, and the difficulty of the exam is very high, but because of this, obtaining this certificate is also very useful!

The gold content is also very high.

If you want to better understand and learn, you can add CPDA's official WeChat*** CPDA Big Data Circle. Learn more news in real time and participate in more CPDA salons and other activities.

The full name of CPDA is Project Data Analyst, the earliest data analysis training in China, which was originally organized by the Ministry of Information Industry, and is currently supervised by the Data Analysis Professional Committee of the China Federation of Commerce and the Education and Examination Center of the Ministry of Industry and Information Technology.

The courses include "Fundamentals of Data Analysis", "Strategic Management", "Quantitative Investment", "Quantitative Management", etc., covering every aspect of enterprise operation, and using data analysis methods to analyze management, operation, investment, etc., it should be said that the management of enterprises is suitable to learn CPDA for management level analysis and guidance.

At present, many courses do not have practical operational models, but CPDA has, which introduces many cases and models of enterprise production, management, operation, investment analysis and decision-making, and the purpose is also to enable the majority of students to have theoretical support and practical models to operate in management positions, so that everyone can have practical and practical models to analyze.

There are two certificates:

The Education and Examination Center of the Ministry of Industry and Information Technology issued the "Project Data Analyst Vocational and Technical Certificate".

The Data Analysis Professional Committee of the China General Chamber of Commerce issued the "Project Data Analyst Certificate".

SC-CPDA Data Analysis Public Communication Platform.

There is currently no recognized certificate in data analysis in China. Data analysis has just started in China, and many companies are groping forward on their own, so at present, there is no generally recognized certificate similar to CFA, Note Club, etc., only the skills and experience of individuals are recognized, and the role of the certificate may be a stepping stone, but we should not fall into such a dependence, let alone be misled by the institutions in the name of the only certification certificate in the society. Understand what you need to charge the most and strengthen your learning.

The number of applicants for the CPDA data analyst exam is directly proportional to the salary, the data analyst is known as the "gold collar class" in the big data industry, and the certificate is known as the "entry ticket" for the data analysis profession in China. Why is the gold content so high?

The CPDA Data Analyst Certificate issued by the Data Analysis Professional Committee of the China General Chamber of Commerce is the only certificate system recognized by the Association in China's data analysis industry with professional characteristics.

More than five analysts can apply for the establishment of a project data analyst firm, which is the only qualification certificate recognized by the market and customers for undertaking project data analysis reports.

Professional: The CPDA Data Analyst Certificate has been established since 2003 and does not have any level. Only after passing the rigorous assessment and passing can the trainees get the data analyst certificate issued by the industry association and obtain the qualification.

The insistence that CPDA data analysts do not distinguish between levels is the result of the association's strict respect for international practices and compliance with practice norms.

Rights and interests: The holder can apply to become an individual member of the China Data Analysis Industry Association with this certificate, and the certificate is bound to the candidate's real identity, which can be queried on the official website of CPDA to ensure the uniqueness and authenticity of the certificate. The certificate is reviewed by the association once every three years to ensure the strength and rights of the holder.

Excellent courses: The new curriculum system adds more data analysis tools and application scenarios, and better puts knowledge and technology into the scenarios to meet business needs, rather than pure technology. Face-to-face communication and learning with teachers are more direct.

Quality Circle: Who said that studying CPDA is just to come to class and read books? Studying data analysis courses here, you can meet many people with the same dream, learning is the same as accumulating contacts, the two aspects of the original conflict have reached a perfect balance, and the study of CPDA has brought additional surprises to candidates, which is the best value investment for their future!

Do you know the value of the data analyst certificate? Life is endless, learning is not stopped, scan the code to get the 2017 Data Analyst Exam Syllabus for free!

Beijing Municipal Measures for the Management of Big Data Enterprise Identification.

Article 1: These Measures are hereby drafted on the basis of the spirit of the "Beijing Municipal Action Plan for Big Data Development (2016-2020)", so as to support and encourage the development of big data enterprises, and to actively promote the integrated and innovative development of big data.

PDCA cycle (plan, do, check, action, cycle): is loved by American statisticians. Dr. Deming created a method for managing product quality, which includes:

There are four stages of planning, implementing, inspecting and dealing with everything. The first stage is the plan, including policies, goals, activity plans, and management projects; The second stage is implementation, that is, doing it on the ground; The third stage is the inspection, which identifies the successes and failures in the implementation and analyzes the reasons; The fourth stage is to deal with it, affirm successful experiences, standardize and standardize them, sum up the lessons of failure, and learn from them.

The PDCA cycle, also known as the Deming ring, is a scientific procedure that should be followed for total quality management. The whole process of total quality management activities is the process of formulating and organizing the realization of the quality plan, and this process is in accordance with the PDCA cycle, which runs again and again without pause.

PDCA is the first letter of the English words plan, do, check and action, and the PDCA cycle is a scientific procedure that carries out quality management in this order and continues in a continuous cycle.

The operation of total quality management activities is inseparable from the rotation of the management cycle, that is to say, to improve and solve quality problems, catch up with the advanced level of work, to use the scientific procedures of the PDCA cycle. Whether it is to improve product quality or reduce non-conforming products, we must first put forward the goal, that is, to what extent will the quality be improved, and how much will the rate of non-conforming products be reduced? You have to have a plan; This plan includes not only the goal, but also the measures that need to be taken to achieve it; After the plan is formulated, it is necessary to check according to the plan to see whether the expected effect has been achieved and whether the expected goal has been achieved; Find out the problem and the cause through inspection; Finally, it is necessary to deal with the experience and lessons learned into standards and systems.

As the basic method of the operation of the total quality management system, the implementation of the PDCA cycle requires the collection of a large amount of data and the comprehensive use of various management technologies and methods.

It's PDCA's Deming Ring.

See entry.

The training course for analysts should be considered from the following aspects:

1. First of all, look at the strength of the training institution. The strength of the training institution indicates what kind of service can be enjoyed during the training period, and what kind of training experience it will bring to everyone, such as whether there is air conditioning in the classroom, and don't go to a classroom that does not even have air conditioning on a hot day, so the strength of the training institution is reflected.

2. Lecturers with rich experience in big data training, big data teachers can more accurately position big data learning course plans for students if they have many years of industry experience, and are also better at providing relatively scientific suggestions for students' career planning. There is a lot of talent mobility in the big data training industry, both from one institution to another, and from the big data training industry to other industries. In general, there are very few big data lecturers in this industry who really have more than 5 years of experience, especially in consulting positions.

3. With a relatively wide knowledge of big data and a variety of big data knowledge structure, there is no relatively wide knowledge of the surface, one is difficult to provide parents with effective communication when providing big data training course consultation, and the other is difficult to achieve forward-looking scientific advice in professional selection and career development.

4. Have big data and be good at big data analysis, this requirement is too high for ordinary big data teachers, and the vast majority of people in the industry do not have it. However, a truly professional big data consultant is engaged in the "technical work" of consulting, and needs to analyze the big data information of the industry and colleges over the years, so as to achieve horizontal and vertical comparison and analysis, so as to more accurately position and formulate big data course training plans for students, and can also guide and help students succeed in the face of constantly adjusting corporate recruitment policies.

Want to know more about CPDA course options. At present, CDA has carried out strategic cooperation with more than 100 universities in China and established a CDA data analyst examination center and talent training base. CDA has conducted more than 500 online and offline data analysis and big data training courses, training 100,000+ students; 15 CDA data analyst certification exams have been held in 70+ cities across the country, with tens of thousands of candidates.

It is more reliable to choose an agency that has authorization and a good reputation.

The data analyst exam requires training and learning, and it is only qualified by authorized institutions to recruit students, and you can check it before applying for the exam.

There are four CPDA data analyst exams: "Fundamentals of Data Analysis", "Quantitative Management", "Quantitative Investment" and "Strategic Management", each with a score of 100 and a passing score of 60. The main thing is to cultivate analytical skills, as long as you follow the teacher carefully, it will not be very difficult.

The CPDA Data Analyst exam is examined four times a year, around March, June, September, and mid-December each year.

There are authorized institutions in the local examination location, and there are authorized institutions in the examination centers arranged by local institutions, such as Shanghai, Guangdong, Shenzhen, etc., and you are talking about this Zhongpeng.

It is better to have been established for a long time, and there is also popularity, scale and so on.

The CPDA's data analyst exam requires a certain foundation in data analysis, which is suitable for candidates with a foundation, and the content of the exam is relatively large, the gold content is relatively high, and it needs to be trained and studied by institutions before applying for the exam.

When I took the CPDA data analyst exam, I took the exam at the one your friend said, because the self-exam was also taken by their family, and it was generally good, so there was no other way to find another home when I took the exam.

It is recommended that you go to the field for consultation and understanding.

Although there is some math involved in the content of data analyst learning, it is not all, you just need to overcome this level, and there is no problem. Your friend said that I used to take a self-exam, and the homeroom teacher is very good. And you have to believe in your teacher's professionalism when you are in class, the exam comes and goes is this knowledge, master the knowledge points taught by the teacher, practice more yourself, and believe that you can pass the test.

You can first learn about the situation with their teachers, such as the cost of learning and the mode of learning, so that you can have a certain understanding before studying, and only know some of the situation when you study.

It's okay, the teacher lectures according to the content of the course, and if you don't know, you can ask the teacher, but the rest is to learn by yourself.

You can go to the official ** of the CPDA data analyst to check the local authorization center to register.

Or just ask the CPDA's governing association.

I think a good training institution must have a good reputation.

I have an understanding of what you said, and the faculty is very strong, but the knowledge of data analysis, everyone's insights are different, and I can't answer too many questions for you, because what suits me may not be suitable for you, so I still recommend listening to the class here, and then choose after making a comparison.

CPDA is an integrated examination and training, and you need to participate in training before you can take the exam, and the cost is 8800

If you have a relevant knowledge background in mathematics, statistics, economics, etc., and have a certain software foundation, it is no problem to learn on your own; However, if you want to enter the industry, or want to have in-depth learning in a certain area of the industry, it is recommended to participate in training, because the course is a systematic knowledge learning and at the same time clarifying the main line.

Hope this helps.