1. Basis of statistical analysis: Master basic and advanced statistical principles, including descriptive statistics, inferential statistics and regression analysis. , used to interpret and forecast business data.
2. E-commerce operation knowledge: In-depth study of e-commerce operation mode, network marketing strategy, e-commerce platform operation management, customer relationship management, and understand how to use data to optimize online transactions and services.
3. Data-driven marketing decision: Learn how to provide data support for marketing strategies and help precision marketing and market development by collecting and analyzing consumer behavior data, market trends and competitive intelligence.
4. Data mining and analysis technology: be familiar with SQL database operation, master Python, R and other data analysis tools, learn data cleaning, data preprocessing, data modeling and other technologies, and conduct in-depth analysis of complex data sets.
5. Application of business intelligence: Learn the relevant knowledge of business intelligence (BI), including data warehouse construction, data visualization, report making and analysis, and use BI tools to assist decision-making.
6. Regulatory ethics and information security: Understand the laws and regulations, data privacy protection and information security related knowledge involved in business data processing, and ensure that data analysis and application are carried out legally and in compliance.