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What is the big data and accounting major?
Little friends who are ready to choose big data and accounting majors, do you know what big data and accounting majors mainly learn? The following is "What do you mainly learn about big data and accounting?" By me, for reference only. Welcome to reading.

What accounting courses do big data and accounting majors mainly study: accounting, management principles, monetary finance, political economy, macroeconomics, microeconomics, financial management, intermediate financial accounting, advanced financial accounting, accounting information system, etc.

Mathematical statistics courses: mathematical analysis I (science), mathematical analysis II (science), advanced algebra I (science), advanced algebra II (science), probability theory (science), mathematical statistics/statistics (science).

Computer courses: university computer foundation, database principle and application, data structure and algorithm, machine learning and data mining, computer programming language: Python, etc.

Big data and accounting expertise requirements

1, master the necessary legal knowledge; Basic knowledge of culture suitable for this major; Basic knowledge of college English and computer application;

2. Familiar with accounting methods, skills and processes, with certain analytical judgment and comprehensive evaluation ability;

3. Be familiar with the regulations on the management of monetary funds, and be able to handle the receipt and payment business and management of monetary funds according to regulations;

4. Understand tax policies and regulations, be able to calculate the tax payable in accordance with regulations, be familiar with the accounting treatment of common tax businesses, and be able to fill in tax payment vouchers and tax return forms for common taxes;

5. Understand the Commercial Bank Law, Negotiable Instruments Law, Payment and Settlement Measures and other relevant regulations, be familiar with the operation procedures of deposit and loan and handling various payment and settlement businesses, and be able to handle deposit and loan operations and various payment and settlement businesses as required;

6, understand the enterprise cost accounting process and basic requirements, can use the cost allocation method and cost calculation method and other related knowledge, can be more skilled in calculating enterprise costs;

7. Be able to comprehensively apply accounting practical knowledge and operational skills and skillfully handle basic accounting business.

Further reading: Big data and accounting employment prospects are still good.

After graduation, I worked as a cashier, financial accountant, financial management, tax Commissioner, audit assistant, bank counter and other jobs in enterprises and institutions such as industry, commerce, foreign trade and social organizations. In recent years, graduates have worked in accounting-related positions in Shanghai Haixing Finance and Taxation Consulting Group Co., Ltd., Shanghai Congxin Certified Public Accountants, Shanghai Yun Xin Certified Public Accountants, China Industrial and Commercial Bank, Huitianfu Fund Co., Ltd., Kerry Logistics, Shanghai Tian Yue Technology Co., Ltd. and other units.

Big data and accounting mainly cultivate students with good ideological and moral character, social morality and professional ethics, and have a solid accounting theory foundation. Through comprehensive accounting training, students can master intelligent cashier skills, accounting skills, tax declaration and planning skills and financial management skills, have strong application ability of accounting information software and office automation software, and become high-quality skilled talents who can engage in cashier, accounting, tax management and financial management in enterprises, institutions and related departments.

Employment direction of big data accounting major

1.Hadoop big data development direction

Strong market demand, the main body of big data training, and the focus of IT training institutions at present.

Corresponding positions: big data development engineer, reptile engineer, data analyst, etc.

2. Data mining and data analysis &; Machine learning direction

Learning has a high starting point and great difficulty, and only a few training institutions are doing it in the market.

Corresponding positions: data scientist, data mining engineer, machine learning engineer, etc.

3. Big data operation &; Cloud computing direction

The market demand is moderate, and Linux and cloud computing disciplines are preferred.

Corresponding position: big data operation and maintenance engineer

At present, the trend of big data has gradually moved from concept to landing. In the transformation of IT people following the wave of big data, the demand for high-end talents of big data by major enterprises is becoming more and more urgent. This trend also provides a rare career opportunity for people who want to work in big data.