How to Prepare for the CDA Data Analyst Exam Effectively?

Step 1: Reading according to the outline analysis of the official website, the first reading, let me understand what foundation I am not right, targeted adjustment, the second reading, sorted out the mind map, the third reading, is combined with the two mock volumes, and at the same time make notes in the notebook.

Step 2: Self-study of mock papers and official question banks.

Step 4: It's okay to use Kaggle's practice matches, but it's best to participate in an actual competition to apply what you've learned to the game.

Prerequisites:

level: No requirements, you can apply for the exam.

level: You can register if you meet one of the following).

1.Obtain CDA Level certification.

2.Bachelor degree or above is required to be engaged in data analysis related work for more than 1 year.

3.Bachelor's degree or below is required to be engaged in data analysis related work for more than 2 years.

Level III: (Applicants can register if they meet one of the following).

1.Obtain CDA Level certification.

2.Bachelor degree or above must be engaged in data analysis related work for more than 3 years.

3.Bachelor's degree or less is required to be engaged in data analysis related work for more than 4 years.

Exam Method. CDA Level and Level are offline unified exams, and questions can be answered on the computer. After registration, candidates can take the test at the test venue according to the information on the admission ticket.

CDA Level III is divided into two parts: offline computer-based test + online defense interview.

Exam content: Level Modeling Analyst: 90 minutes, objective questions (single choice + multiple choice), computer-based answers; 120 minutes, case operation, closed-book, bring your own computer to operate (install software with data mining functions such as: sql, spss modeler, r, python, sas, weka, etc., for case operation analysis.)

The case data will be provided as a CSV file). Please refer to the CDA Level Modeling Analyst exam syllabus for the test center.

Level Data Scientist:

The first stage: 150 minutes, objective questions + subjective questions, closed book, computer-based answers.

Exam arrangement: level: December 29, 2018 morning, see the admission ticket information for the specific time.

level: December 29, 2018, see the admission ticket information for the specific time. >

level ⅲ：

Phase 1: December 29, 2018, please refer to the admission ticket information for the specific time.

The second stage: January 26-27, 2019, the specific time will be after the first stage of scoring, see the official announcement for those who pass.

Test locations: Beijing, Shanghai, Tianjin, Chongqing, Chengdu, Shenzhen, Guangzhou, Jinan, Nanjing, Hangzhou, Suzhou, Fuzhou, Taiyuan, Wuhan, Changsha, Xi'an, Guiyang, Zhengzhou, Nanning, Kunming, Urumqi, Shenyang, Harbin (23 cities).

Exam fee: Level: 1000 RMB

level ⅱ：1500 rmb

level ⅲ：1800 rmb

Up-to-date exam fees.

level ⅰ：1200 rmb

level ⅱ：1700 rmb

level ⅲ：2000 rmb

Note: Those who fail to pass the exam can take a make-up examination once, and the make-up examination fee is 6% discount. There is only one retake for each level of subjects.

Now the latest exam fees:

level ⅰ：1200 rmb

level ⅱ：1700 rmb

level ⅲ：2000 rm

If you have studied at CDA, you can get a discount

I think it depends on where you are in the CDA Data Analyst course. There are several different levels of CDA, and the fees for each level are not very different, and the price should be around 4,000 to 8 yuan, right?! I think if you really want to sign up for CDA, you should still hit ** to find out the specific situation......

The cost of the exam is related to the level of the exam you choose, the level of the exam is low, the cost of the exam is not high, I remember when I was in Zhongpeng before, it was a fee of 1,005, or quite cheap, I don't know if the fee has changed now.

The requirements of the CDA exam are not very high, and the first-level exam has no requirements for academic qualifications and years of work, and the difficulty of the exam above the second-level exam will increase. The CDA's data analyst exam is suitable for candidates who have no data foundation, and the content of the exam is relatively basic knowledge, which is a good choice for candidates who are new to data analysis. After having a certain data foundation, you can continue to apply for the CPDA's data analyst exam, not to mention that the development prospects of data analysts are good now, and the salary in the future is still okay.

It is recommended to go to the official website of CDA data analysts and ask directly.

The content of the CDA Data Analyst exam is as follows:

level: Transactional Data Profiler.

135 minutes (15 minutes to read the exam guide + 120 minutes to formally answer questions), objective questions (single choice + multiple choice), computer-based answers.

Level II: Modeling Profiler.

The first 105 minutes (15 minutes to read the exam guide + 90 minutes to formally answer the questions), objective questions (single choice + multiple choice), computer answers; After 120 minutes, the case is operated by a computer (equipped with software with data mining functions such as: SQL, Python, SPSS Modeler, R SAS, Weka, etc., to analyze the case operation. The case data will be provided as a CSV file).

Level II: Big Data Profiler.

The first 105 minutes (15 minutes to read the exam guide + 90 minutes to formally answer the questions) will be answered on the computer; After 120 minutes, the case is operated by yourself, and you can bring your own computer to operate (see the detailed instructions in the exam syllabus for detailed preparation).

Level III: Data Scientist.

Stage 1: 165 minutes (15 minutes to read the exam guide + 150 minutes to formally answer questions), objective questions + subjective questions, computer-based answers. Phase 2:

Within 1 month, the project case is open and free to answer questions. Submit the project results, 30 minutes, online interview defense. (Only those who have passed the first stage of the examination are eligible to participate in the second stage of the interview).

Item case examination arrangements are sent by e-mail.

The CDA industry standards are jointly formulated by industry experts, scholars and well-known enterprises in the field of data on an international scale and revised and updated every year to ensure that the standards are public, authoritative and cutting-edge. Those who pass the CDA certification exam can obtain the CDA certification certificate in both Chinese and English.

What is a CDA Data Analyst?

"CDA Data Analyst" is the abbreviation of the profession of data analysis professionals in the era of big data and artificial intelligence for all industries in the world, specifically referring to the new type of data analysis talents who specialize in data collection, cleaning, processing, analysis and can make business reports and provide decision-making in the Internet, finance, consulting, telecommunications, retail, medical care, tourism and other industries.

CDA Level business data analysts need to master the foundation of probability theory and statistical theory, be proficient in using Excel, SQL, SPSS, Python and other professional analysis software, have good business understanding skills, be able to use common data analysis methods to process and analyze data according to business problem indicators, and obtain logical business reports.

CDA data analyst certification, it should be recognized is not bad, when I was looking for a job, I saw in the boss that the company clearly stated in the recruitment requirements that those with CDA data analyst certification certificate are preferred. If you want to do business analysis or data operations, mining, algorithms, modeling and the like, it should help.

CDA data analysts are mainly in the Internet, retail, finance, telecommunications, medical care, tourism and other industries specializing in data collection, cleaning, processing, analysis and can make business reports, provide decision-making of new data analysis talents, the current CDA certification is divided into three levels, there are CDA Level I (business data analyst), CDA level II (modeling analyst), CDA level II (big data analyst), CDA level III (data scientist), Among them, the difficulty of business data analyst will be a little lower, which is more suitable for beginners who have no data foundation, like the other two levels of certification, which require a certain amount of work experience and data foundation.

The requirements for the CDA Data Analyst exam are as follows:

CDA Level I: Anyone can apply for the exam without requirements, and it is oriented to the scope of workplace data thinking and general data skills that everyone needs.

1.Zero-based employment career changers, fresh graduates.

2.Incumbents in product, operation, marketing and other business positions, R&D and technical positions.

3.Business founders, managers, and management consulting practitioners.

Job destinations: Business (business) analyst, junior data analyst, (data) product operation, (digital) marketing, data specialist, etc.

CDA Level: Level I certification is required, and the scope is aimed at: data analysis processes and skills necessary for the digital development of enterprises.

1.Incumbents in data analysis related positions in product, operation, marketing and other business departments and R&D, middle office, and technical departments.

2.Founder of a digital transformation company and a person in charge of the digital process.

Job destinations: Data Analyst, (Data) Product Operations Manager, (Digital) Marketing Manager, Risk Control Modeling Analyst, Quantitative Strategy Analyst, Data Governance (Quality), etc.

CDA Level III: Level certification required, scope: Advanced data analysis methods and techniques necessary for the digital development of enterprises.

1.Business and technical positions are engaged in data analysis, data mining, machine learning and other technical on-the-job promotions.

2.Researchers, analysts and engineers engaged in algorithm science, deep learning, etc.

Job destinations: Senior Data Analyst, Machine Learning Engineer, Algorithm Engineer, Data Scientist, Chief Data Officer, etc.

The CDA industry standards are jointly formulated by industry experts, scholars and well-known enterprises in the field of data on an international scale and revised and updated every year to ensure that the standards are public, authoritative and cutting-edge. Those who pass the CDA certification exam can obtain the CDA certification certificate in both Chinese and English.

How the CDA Data Analyst Exam is as follows:

CDA Registration:

Qualifications: CDA Level 1: Industry Data Analyst.

There is no requirement to apply for the exam.

CDA Level 2: Modeling Analyst and Big Data Analyst Qualifications (one of the following can be registered):

1. Obtain CDA Level certification (only need to upload CDA certificate** or scanned copy).

2. Bachelor's degree and more than 1 year of data analysis related work (academic certificate and work certificate need to be uploaded at the same time).

3. Bachelor's degree or less needs to be engaged in data analysis related work for more than 2 years (academic certificates and work certificates need to be uploaded at the same time).

Career Direction:

CDA Data Analyst covers all the skills required by domestic enterprises to recruit data analysts, including statistical knowledge, software applications (SPSS SAS R, etc.), data mining, databases, report writing, project experience, etc. The huge shortage of occupations also indicates that professional data analysis talent will be in short supply.

After obtaining the CDA certification, you can specialize in data collection, cleaning, processing, analysis, business reports, and decision-making in popular industries such as the Internet, retail, finance, telecommunications, medicine, and tourism.

The career prospects of CDA data analysts are very broad, and they can choose to develop in many industries and fields such as communications, healthcare, banking, insurance, manufacturing, business, market research, scientific research, education, etc. The actual job position should be qualified for different data analysis tasks according to the three different levels of CDA.