What to learn in a big data analysis course

What to learn in the big data analysis course:

The big data technology major is an interdisciplinary subject: statistics, mathematics, and computers are the three major supports. Biology, medicine, environmental science, economics, sociology, and management are applied and expanded disciplines.

In addition, you need to learn data collection, analysis, and processing software, learn mathematical modeling software and computer programming languages, etc. The knowledge structure is a cross-border talent with two specialties and multiple abilities (with professional knowledge and data thinking) .

Take Renmin University of China as an example:

Basic courses: mathematical analysis, advanced algebra, introduction to general physics mathematics and information science, data structure, introduction to data science, introduction to programming, programming practice .

Required courses: discrete mathematics, probability and statistics, algorithm analysis and design, data computing intelligence, introduction to database systems, computer system foundations, parallel architecture and programming, and unstructured big data analysis.

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

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