Data analysts belong to the Internet industry, so learn some related codes first. To become a data analyst, code is only the first step. Only by mastering the code skillfully can we be more efficient in our work and provide guarantee for future development. The recommended codes are SQL, MySQL database, Python foundation and Python data analysis, which are all necessary skills for data analysts.
For people with zero foundation, reading books and taking notes can help them understand the content of data analysis more thoroughly. Recommended books for learning data analysis are: Python core programming, mastering the most basic skills of programming; MySQL must understand and learn SQL statements; Do data analysis with Python, and master Python to do data analysis; Through Python data analysis and actual combat, we can learn how to turn business problems into mathematical problems.
Finally, we should learn and master the basic operations of Excel, including adding, deleting, modifying and filtering, and making various basic charts and pivot tables by using various common functions. Because data analysts often need to process data and make it into more intuitive and easy to observe and express charts, the basic operation of Excel is essential.
If you want to know more about big data analysts, you can consult CDA certification bodies. CDA is a professional abbreviation for data analysis professionals facing the whole industry in the era of big data and artificial intelligence. Global CDA licensees adhere to the new concept of advanced business data analysis, follow the new norms of CDA professional ethics and code of conduct, give full play to their own data professional ability, promote scientific and technological innovation and progress, and help the sustained economic development.