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CDA (Certified Data analyst) was a new type of data analysis talent who specialized in data collection, cleaning, processing, analysis, business reports, and decision-making in the Internet, retail, finance, communications, medicine, tourism, and other industries. CDA data analysts faced data analysis in the business workplace and were divided into three levels. In China, the certification examination was hosted by the Home of Management (formerly the People's Congress economic forum). Those who passed the examination could obtain the CDA data analyst certification certificate, which could be used as a reference for enterprises and institutions to select and hire professionals. Their jobs included managing data assets and other content, covering all the skills required by domestic companies to recruit data analysts, such as probability and statistics knowledge, software applications, data mining, database, data reporting, business applications, etc. CDA stats analysts were divided into three levels: - CD ALevel I: Business data analyst. It is suitable for front-end business personnel in the government, finance, communications, retail, and other industries, business personnel engaged in marketing, management, finance, supply, consulting, etc., and non-statistics, computer professional background, zero basic entry and transfer employment. Must master the theoretical basis of probability theory and statistics, be proficient in using professional analysis software such as Excel, SPSS, sos, etc., have good business understanding ability, be able to use common data analysis methods to process and analyze data according to business problem indicators, and draw a logical business report. - CD ALevel II: Including modeling analysts and big data analysts. Requires at least one year of data analysis work experience, or at least half a year of CD A Level I certification. It specifically referred to people who specialized in data analysis and data mining or cloud big data in the government, finance, communications, retail, internet, e-commerce, medicine, and other industries. On the basis of Level I, it is required to master more theoretical knowledge, such as theoretical knowledge of multi-statistics, time series, data mining, etc., master advanced data analysis methods and data mining algorithms, be proficient in using at least one professional analysis software such as SPSS, acs, Matlab, R, etc., be familiar with the application of SQL to access enterprise database, extract relevant information from massive data in combination with business, and perform modeling analysis from different dimensions to form a data analysis report with strict logic that reflects the overall data mining process. The CDA data analyst certification had certain advantages. For example, the difficulty was relatively low, and it could be passed in 2 - 3 months of review for college degree or above. It was suitable for self-study. The salary was relatively good. The salary during the internship trial period was about 8k-9k, and the monthly salary of 2 - 3 years of experience in first-tier cities was more than 20k. There was no mid-life crisis. The more you understood the business, the more opportunities you had to participate in decision-making. It was irreplaceable. The employment prospects were good. In the era of big data, corporate scientific decision-making was based on data mining and analysis, and its development depended on this. "A Short History of the Future: Legends of the Intelligent Era" was equally exciting. Everyone was welcome to click and read it!

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The CDA data analyst training had the following characteristics: 1. ** Course design and objectives ** - It aims to train business data analysts to master the methods of extracting and analyzing company data based on specific business indicators, covering business indicators, user behavior, lean management, and so on. They can also effectively convey knowledge discovery through visualization technology. - There were different contents for different directions and levels of training. For example, the CDA Level I Business Data analyst certification training course, the SAS-themed course, focused on the SAS-oriented course. It had a total of 64 class hours. There were full-time classes, weekend classes, and other classes. It could be taught face-to-face or online. 2. ** Widely applicable ** - This included people from all walks of life who had plenty of time on weekends but had a weak foundation and were interested in commercial Bi data analysis; people in product, operation, marketing, sales, and management positions who could use data analysis to improve work efficiency; data specialists whose core work was SQL, data cleaning, visualization, and business analysis; on-the-job data analysts, students, unemployed, and staff who were looking forward to changing careers to data analysis; college students and teachers who were interested in data analysis, mining, and business intelligence; Beginner data analysts who have zero foundation and wish to learn advanced data analysis skills. 3. ** Training advantages and features ** - In terms of course prices, for example, the business data analyst training course started at 2700 yuan, had 5700 followers, and the training score reached 5.0 points. - It had the advantage of attendance and progress supervision. 4. ** Industry Connection and Meaning of certification ** - CDA was a set of scientific, professional, and international talent assessment standards. It was divided into three levels: CDA Level I, Level II, and Level III. It involved the Internet, finance, consulting, communications, retail, medical, tourism, and other industries, including big data, data analysis, marketing, products, operations, consulting, investment, research and development, and other positions. - The CDA certification standard was jointly developed by experts, scholars, and many companies in the field of data science. It was revised and updated annually to ensure that the standard was neutral, consensual, and cutting-edge. Those who passed the CDA certification exam could obtain the CDA certification in both Chinese and English. At present, more and more enterprises and institutions required data analysts to be certified. "When a programmer meets a psychologist" is equally exciting. Everyone is welcome to click to read it!

The CDA data analyst exam was divided into three levels. The exam time for each level was as follows: - CDA Level I: The candidate can choose the most suitable time within one year after the successful registration and make an appointment with the nearest examination center to take the exam. - CDA Level II: Similar to Level I, candidates can choose their own exam time within one year after successful registration. - CDA Level III: There are four chances to take the exam each year, which are arranged on the last Saturday of March, June, September and December. For example, in 2024, the examination time for this level was set to be September 28th. In addition, the registration time was one month before the exam. " When a programmer meets a psychologist " is equally exciting. Everyone is welcome to click to read it!

The CDA data analyst certificate was divided into levels 1 - 3. The requirements for each level were as follows: - CDA Level I: 18 years old or above, no academic qualifications or major requirements. - CDA Level II: You can apply if you meet any of the following conditions: first, you have to obtain CDA Level I certification; second, you have to have a bachelor's degree or above, and you need to be engaged in data analysis related work for more than one year; third, you have to have a bachelor's degree or below, and you need to be engaged in data analysis related work for more than two years. - CDA Level III: You can apply if you meet any of the following conditions: first, you have to obtain CDA Level II certification; second, you have to have a bachelor's degree or above, and you need to be engaged in data analysis for more than 3 years; third, you have to have a bachelor's degree or below, and you need to be engaged in data analysis for more than 4 years. " When a programmer meets a psychologist " is equally exciting. Everyone is welcome to click to read it!

The CDA data analyst certificate was useful. If the purpose was to improve one's ability or to get extra points for finding a job, it was worth taking the exam. This was because the exam had a certain degree of difficulty, and it was not possible to get a certificate by paying the fee. Moreover, many companies indicated that CDA data analysts were preferred when recruiting. The CDA Data Science Research Institute trained many large enterprises, especially banks, finance, and telco operators. They all required their technical staff to pass the CDA data analyst level 2 examination, so the quality of the certificate was guaranteed. " When a programmer meets a psychologist " is equally exciting. Everyone is welcome to click to read it!

The CDA data analyst certification had a high value. In terms of corporate recognition, many well-known companies such as China Airlines and Su Ning highly praised CDA certificate holders, and some companies used it as an important standard for internal data analysis talent evaluation. When recruiting, they would give priority to applicants with CDA certificates, which provided more employment opportunities and career development space for the certificate holders. From the perspective of industry standards and professionalism, CDA certification was jointly developed by industry associations, well-known enterprises, and industry experts and scholars, and was revised and updated annually. It covered the core concepts and practices in the field of data analysis, enabling the holder to adapt to the needs of different industries and organizations. The course content included data collection, cleaning, modeling, and prediction. Through practical cases, the holder's practical ability was improved. In terms of career development opportunities, holding a CDA certificate could significantly improve professional competitiveness. In recruitment, applicants with this certificate would usually be given priority. This showed that the holder had professional ability and the willingness to continue learning to improve themselves. In addition, they often showed higher professionalism and practical ability in interviews, and could more clearly explain data analysis ideas and methods. The CDA certificate had a high degree of recognition and gold content in many industries such as finance, communications, retail, manufacturing, energy, medical and pharmaceutical, tourism, and consulting. From a systematic and comprehensive point of view, through systematic study and examination, CDA certification could help students fully master the skills needed for data analysis, from data collection to prediction. This not only improved the professional ability of students, but also enhanced the ability to solve practical problems. In addition, CDA certification was divided into three levels, covering different levels of ability requirements. The application conditions were flexible, the examination methods were diverse, and there were test sites around the world. It was recognized by the China Adult Education Association and the Big Data Professional Committee. It also cooperated with Pearson Vue, the leading company in the international assessment industry, to promote the examination service to the world. It also established cooperative relationships with many enterprises and educational institutions. All of these reflected its value. " When a programmer meets a psychologist " is equally exciting. Everyone is welcome to click to read it!

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