Is it easy to find a job with a major in data science and big data technology? In addition to doing data analysis, what other career directions are there?

Data science and big data technology are very popular majors. Because of the shortage of talents, the salary of this major is very high. In the future, you can not only become a big data engineer, but also engage in data mining and data operations. Maintenance, cloud computing and other positions. What is the major of data science and big data technology? You need to learn many aspects of knowledge

Mr. Jack Ma once said, "Human beings are gradually moving from the IT era to a new DT era." As data science and big data in these years Technical majors are becoming more and more popular and attracting more and more people's attention. However, there are also many people who want to study this major but do not understand the majors studied in this major. So what should be studied in four years of college?

Data science and big data technology majors are a combination of computers and mathematics. For example, you need to learn languages ????JAVA, Python, and Scala; you need to know the JVM, database MySQL, Oracle, etc., and you need to master at least one. Database, and Linux system must be proficient, especially Linux, you must spend more time practicing. Especially JAVA and PYTHON must be studied carefully. These two languages ??take a lot of time to learn. If you are not familiar with them, you must learn them repeatedly until you are proficient in them. You must also be familiar with tools, big data components, visualization tools, and data analysis. Wait, it can be said that this major is very complicated and requires students to study hard. Big data majors can lead to many positions in the future, and are also a shortcut to entering big companies

As long as students studying data science and big data technology study hard and master certain technologies, they don’t have to worry about not being able to find a good job in the future. , you can work as a big data engineer, big data maintenance engineer, big data R&D engineer, big data architect, etc.; you can also develop in the direction of data analysis and machine learning.

At the same time, big data operation and maintenance and cloud computing are also very good choices. For example, big data operation and maintenance engineer. This position is proficient in any direction and is very promising for future development. It can enter state-owned enterprises and the world's top 500 companies. Strong enterprise. Of course, you can also take the cloud civil servant examination to enter the National Taxation Bureau or government agencies, which are very good choices. To study big data technology, you must be determined to study hard in order to get promoted in your position

Big data has been really popular in recent years, and there are many students who want to study this major. Before choosing this major You must make it clear what you are studying. If you just study a popular major to find a job in the future, if you choose a major you don’t like, you will not be able to continue studying at all. If your technical level cannot be improved, you will not have a big future. as. Therefore, when choosing a major, you should not only choose a popular major, but also consider whether you are suitable for this major and whether you are interested in learning.

After all, today’s society is developing rapidly. You must choose a direction that suits you. If you choose a major in data science and big data technology, you must complete it seriously, be prepared to endure hardship, and be prepared to do a good job. Determination to understand homework thoroughly. You must study with concentration. If you want to truly learn knowledge, you must work hard. There will inevitably be many temptations and difficulties in the learning process. Only by overcoming difficulties can you make progress and truly take the first step towards learning big data. step. It is not easy to learn the major of big data well, and students must be prepared to endure hardship

The major of data science and big data technology is not simple, and it takes more time than other majors. Sometimes students from other majors can go out and play on weekends, but students majoring in data science and big data technology spend most of their time in the dormitory learning code. It can be said that learning this major is very difficult. It not only takes a lot of time, but also a lot of energy. Staying up late to code is commonplace.

You must have a strong psychological quality to learn big data. Sometimes you have to sit in front of the computer for hours to check a small piece of code. When you can’t check the error no matter what, you can’t run it. It's a very painful thing. At the same time, you must learn mathematics well. The future is the direction of big data. It is very necessary to master basic subjects well. It will be very difficult to study this major if the advanced mathematics test paper does not exceed 85 points.

Data science and big data technology majors have very good employment prospects now and in the future

Data science and big data technology majors are very useful. Nowadays, data is a very valuable resource for corporate units, and big data analysis technology It is also constantly improving. Talents in this area are needed for business management, improvement of sales performance, how to reduce costs, etc. It can be said that data science and big data technology majors have played an important role in various enterprises. Today, this professional technology has been widely used in many fields such as the Internet, financial institutions, transportation, aerospace, medical, and international.

By 2030, the scale of big data and related industries will have reached trillions. The big data industry has become an important new economic growth point, so the market has great demand for technical talents in this area. , Today there are only more than 400,000 big data talents in the country, and there will be a shortage of 1.5 million talents in this area in the next three to five years. It is precisely because of the lack of talents that the salary in this field is relatively high. Just taking the salary of a HADOOP development engineer as an example, it reaches 8,000 at the beginning. With the development of technology, the annual salary can reach 300,000-500,000.

Big data majors are very impressive in terms of jobs and remuneration, but the prerequisite is that people have a solid foundation and a mentality of continuous learning of new technologies. In today's Internet era, the framework technology is always advancing. , Therefore, people must continue to learn and progress in order not to be eliminated by this society.