The first area is math fundamentals, the second is statistics fundamentals, and the third is computer fundamentals. To get farther down the road of data analysis, you must focus on math and statistics. Data analysis in the end is to find the law behind the data, and find the law need to have the ability to design algorithms, so math and statistics for data analysis is very important.

And want to quickly become a data analyst, you can start learning from computer knowledge, the specific point is to start learning from the data analysis tools, and then in the process of learning to use the tools, assisted by algorithms as well as the industry lethal learning. Learning data analysis tools often start learning from Excel tools, Excel is the current workplace more commonly used data analysis tools, usually in the face of 100,000 structured data, Excel is still able to handle. For most people in the workplace, master Excel's data analysis capabilities to cope with most common data analysis scenarios.

After mastering Excel, the next step is to learn more about the database, starting with relational databases and focusing on the Sql language. After mastering the database, the ability to analyze data will have a more substantial increase in the amount of data that can be analyzed will also have a significant increase. If you use a combination of database and BI tools, then the results of data analysis will be richer, but also a more intuitive presentation interface.

The last step in data analysis requires learning a programming language, and learning Python is a good choice, as Python is widely used in the field of big data analysis, and Python is easy to learn, even without a programming foundation. The machine learning approach to data analysis through Python is a popular way to analyze data.

The partners who are interested in big data analytics may want to start with a look at the big data analytics books to start! There are a lot of big data instructional videos on the B site, from basic to advanced, and it's pretty good, the knowledge is very detailed, and there is also a complete version of the roadmap for learning. You can also see for yourself, download and learn to try.