During the interview, the manager of the data department asked some questions about the data in life. An excellent data analyst has a strong sensitivity to data. Your intuitive feelings about common data in life can often reflect your qualifications.

2. Basic concepts of mathematics and statistical methods.

There is also the problem of permutation and combination, the definition of exponential decay and so on. Or directly give a question or data and ask what method you intend to analyze. Remember to say data preprocessing when giving you data! This is very important, and it will make people think that your answer is very logical and organized. If you want to engage in data science-related positions, you can refer to Chengdu Jiamigu Big Data Training Institute for the data knowledge you need to learn: if you want to engage in data science-related positions, these mathematical foundations are "necessary".

3. Programming ability.

You must have your own skilled software. Frequently asked questions are: What do you usually do with excel, what functions are commonly used, have you ever used a PivotTable, have you used enough macros, how often do you use R, have you ever used or learned parallelism, and so on. When interviewing a small company, HR may directly give you a data for data analysis, and the topic is generally not too difficult.

If you want to know more about the difference between data mining and data analysis, you can consult CDA certification center. CDA industry standards are jointly formulated by industry experts, scholars and well-known enterprises in the international data field, and are revised and updated every year, which ensures the openness, authority and cutting-edge of the standards. Those who pass the CDA certification examination can obtain CDA certification in both Chinese and English.