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E-commerce Data Analysis

Class time： 2024-10-23 ~ 2025-04-01，Total 23 weeks

The first 1 period {{ item.serial_label }}
End · Number of participants：609 · Overall score：4.88 | Added to favorites Favorites
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Course introduction Learning syllabus curriculum evaluation
Chapter 1 Technology + innovation: the new situation of e-commerce data operation
1-1 New thinking of Data operation
1-2 Data operation trend, challenges and breakthroughs of e-commerce
Chapter 2 Market + competition: insight into the industry market, to achieve a gorgeous "counterattack"
2-1 Market demand analysis and target customer positioning
2-2 Industry data mining and market analysis
2-3 Competitor identification and analysis
Chapter 3 Operation + management: data decision-making, to solve business problems
3-1 Customer data analysis and precision Marketing
3-2 Promotion data analysis and marketing Decision-making
3-3 Sales Data Analysis and Service Upgrade
3-4 Supply Chain Data Analysis and Optimization
Chapter 4 Product + data: the past life of hot style products
4-1 Product potential market mining
4-2 Analysis of product capability
4-3 Product Structure Planning
Chapter 5 Monitor + report the maximum operation value of e-commerce data
5-1 Monitoring of e-commerce operation data
5-2 E-commerce data analysis report writing
Teaching team
贵州电子商务职业技术学院 Chief Lecturer

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