What do you study in big data?

Big Data Major: Programming Practice, Discrete Mathematics, Probability and Statistics, Algorithm Analysis and Design, Data Structures, Introduction to Data Science, Introduction to Programming, Mathematical Analysis, Advanced Algebra, Introduction to General Physical Mathematics and Information Science, Data Computing Intelligence, Introduction to Database Systems, Fundamentals of Computer Systems, etc

Structure of the core curriculum of the Digital** Technology major. Core courses: C language, object-oriented programming, introduction to digital technology, programming, data structure, computer graphics, data visualization, film and television post-production and special effects technology, digital image processing, human-computer interaction technology, virtual reality technology, artificial intelligence and new**, game architecture and technology foundation, mobile game technology, unity application development, introduction to digital industry, animation design principles, 3D animation technology, Maya foundation and modeling.

The big data major is mainly to do analysis and the like, and use the computer to do some programs, so that it is the big data major, such as many hospitals and branches of various banks, which need to be done by big data majors.

Big data technology is an interdisciplinary discipline: statistics, mathematics, and computer science are the three supporting disciplines; Biology, medicine, environmental science, economics, sociology, and management are applied and expanded disciplines. In addition, it is also necessary to learn data collection, analysis, processing software, mathematical modeling software and computer programming languages, etc., and the knowledge structure is a cross-border talent with two specialties and multiple abilities (professional knowledge and data thinking).

The prospect of big data development is very good, a major like big data development is still better in first-tier cities, teachers can keep up, and the salary of employment is also considerable, and the time for face-to-face classes in big data development is about half a year, and learning big data development can be in the order of the roadmap

What are the learning courses of big data major Big data technology major is an interdisciplinary discipline: statistics, mathematics, and computer science are the three major supporting disciplines; Biology, medicine, environmental science, economics, sociology, and management are applied and expanded disciplines. In addition, students need to learn mathematical collection, analysis, and processing software, mathematical modeling software, and computer programming languages.

The big data major has statistics, mathematics and computer science as the three supporting disciplines; Biology, medicine, environmental science, economics, sociology, and management are applied and expanded disciplines. Take Chinese Renmin University as an example:

Basic courses: Mathematical Analysis, Advanced Algebra, General Physical Mathematics and Introduction to Information Science, Data Structures, Introduction to Data Science, Introduction to Programming, Programming Practice.

Compulsory courses: Discrete Mathematics, Probability and Statistics, Algorithm Analysis and Design, Data Computational Intelligence, Introduction to Database Systems, Fundamentals of Computer Systems, Parallel Architecture and Programming, Unstructured Big Data Analysis.

Elective courses: Introduction to Data Science Algorithms, Special Topics in Data Science, Data Science Practice, Internet Practical Development Techniques, Sampling Techniques, Statistical Learning, Regression Analysis, Stochastic Processes.

It can also enter all walks of life, in banks, telecommunications, electric power, transportation and other enterprises and institutions, information industry and other national economic departments, and even medical systems, relying on specific businesses, engaged in big data analysis, big data application development, big data system research and development, data visualization and other related work.

1. Data collection2. Intelligent analysis of big data.

3. Big data information mining.

What is the employment direction of big data technology?

1.Internet e-commerce direction.

As the hottest outlet at present, Internet e-commerce is the place where the Internet field is used in the most practice, and it is also the part with the largest demand for talents. Graduates majoring in big data technology and application can be engaged in Internet e-commerce operation and maintenance, daily management, consumer big data analysis, financial data risk control management and other related technical work. At present, from the head e-commerce platforms that have been listed to the community e-commerce, the gap of these technical talents is relatively large.

2.Retail Finance.

Although retail finance and Internet e-commerce both belong to the field of consumption, specifically, the scope of retail e-commerce is smaller than that of Internet e-commerce, and it is more necessary to accurately connect with consumer groups and consumer groups' hobbies, incomes and other characteristics than Internet e-commerce. Graduates of Big Data Technology and Application can work in computer-based, etc. development and other work.

It is suitable for undertaking related technical services in retail financial enterprises, and can also be engaged in computer application work in the IT field.

Data analysts need to learn statistics, programming skills, databases, data analysis methods, data analysis tools, etc., and also be proficient in using Excel, be familiar with and proficient in at least one data mining tool and language, have the ability to write reports, and have a solid SQL foundation.

1. Mathematical knowledge.

Mathematics is the basic knowledge of a data analyst. For junior data analysts, it is enough to understand some basic content related to describing statistics, have a certain ability to calculate formulas, and understand common statistical model algorithms is a plus.

2. Analytical tools.

For junior data analysts, playing with Excel is a must, pivot tables and formulas must be proficient, and VBA is a plus. In addition, it is better to learn a statistical analysis tool, SPSS as a starting point.

For senior data analysts, the use of analytical tools is a core competency, a basic must for VBA, at least one of them must be proficient in the use of SPSS SAS R, and other analysis tools (such as MATLAB) as appropriate.

3. Programming language.

For junior data analysts, they can write SQL queries, and if necessary, write Hadoop and Hive queries, which are basically OK. For senior data analysts, in addition to SQL, it is necessary to learn Python to obtain and process data with half the effort. Of course, other programming languages are also possible.

Data analysts can be engaged in: IT system analysts, data scientists, operations analysts, and data engineers.

Big data is strictly an industry, not a profession, and there are many kinds of jobs in this industry.

Therefore, some of the different schools are declared by the School of Information, some are led by the School of Computer Science, some are located in the School of Statistics, and some are in the School of Economics and Management. But in short, the big data major must involve the three majors of mathematics, computer science and statistics.

Therefore, in principle, there are theoretical, practical, and application-oriented big data majors, and the curriculum and industry targeted by each school may be different.

Big Data majors need to learn: Mathematical Analysis, Advanced Algebra, Introduction to General Physical Mathematics and Information Science, Data Structures, Introduction to Data Science, Introduction to Programming, Programming Practice, Discrete Mathematics, Probability and Statistics, Algorithm Analysis and Design, Data Computational Intelligence, Introduction to Database Systems, Computer System Fundamentals, Parallel Architecture and Programming, Unstructured Big Data Analysis, etc. ”

The content that needs to be learned in the big data development major includes three parts, namely the basic knowledge of big data, the knowledge of big data platform, and the knowledge of big data scenarios.

1. Basic knowledge of big data:

There are three main sections, which are subjects such as mathematics, statistics, and computing. The basic knowledge of big data often determines the future growth height of developers, so it is necessary to pay attention to the learning of basic knowledge.

What do you study in the data major? That is for the network and information, I think big data, is some information collection, it should mean this!

What do you study in the data major? I think it's a lot of analysis and collation of data and integration of market evaluation applications.

The core courses include Introduction to Big Data in Probability and Data Statistics, Principles and Applications of Operating Systems (Linux), Data Structures, Principles and Applications of Databases, Electronic and Electrical Technology, Network Security Technology, Hadoop Big Data Technology, Data Warehousing and Mining Technology, Principles and Applications of Distributed Databases, Big Data Application Development Language, Data Visualization, Data Import and Preprocessing, Machine Learning, Big Data Analysis and In-Memory Computing.

Hello, the big data major mainly learns:1Data Science and Big Data Technology 2Big Data Technology and Applications.

The Big Data major mainly studies data structures, data computational intelligence, discrete mathematics, mathematical analysis, algorithm analysis and design, probability and statistics, and advanced algebra.