Why does a programmer need mathematics

Many programmers argue that mathematics is not as important as the stack of technologies that must be used to solve a client's business problems. In most cases, I agree, and indeed, if a person does not know how to program, does not know existing business processes, or does not understand the logic, then no mathematics will help him. This article is addressed to those who want to analyze their data, and make the visualization of business processes more interactive and not only.

Analytics

“Any product that has an audience collects data. Analytics is everywhere: in banks, games, and consulting. If we generalize strongly, we can say this: where it is possible to save data about the product and user behavior, sooner or later an analyst should appear.

Even while reading this article, they collect data about you and after a while, your browser will spam you with ads on how to become a great data analyst, and if you manage to read the article to the end, then I will do it and shove you some of my training info product data science. Joke. My courses are already selling well, and you can learn without any courses because all the documentation on popular libraries is in the public domain.

They will only be able to hide from you the technologies with which this analytics is done much faster but believe me, they will not share these technologies with you even for a lot of money. High technologies are only shared with those who have technologies of similar scale. So learn to create your products and analyze existing ones, become both a programmer and an analyst

A good data analyst is not just a mathematician with programming skills. He understands business processes and knows the product well. Such a specialist understands how a particular business earns. As a result of his work, the company can get more profit and make its users happier. A strong data analyst always asks the manager about what problem the business wants to solve before taking on a job.

Data is very important information for any company. They can be used to predict customer behavior, track demand for a particular product, improve service, and increase sales. The processing of values ​​and indicators has shaped an entire profession - data analyst

Transforming data into actionable analytics is the difference between the struggle to survive and thrive for a wide variety of businesses and organizations. To maximize the effectiveness of information, analytics is required, a process in which primary data is analyzed to reach conclusions.

My supervisor said: “Python is a kindergarten language” and has always advocated computer mathematics systems. I agree with him, but I met guys who did excellent data analytics in Python using the Pandas library at many hackathons. With the study of this language and library, I recommend you start.

Write your comments, because this is my first article on tproger.ru and I need to do analytics about what to write next, what services to recommend to you, and what cases to share.