数据分析学院
Data Analytics Academy
A structured path from digital fundamentals and analytical tools to business analysis practice and data-driven transformation.
Two Learning Directions
Our content connects business problems, practical methods, hands-on assignments, and clear deliverables for individual learners and business teams.
数据分析学院
A structured path from digital fundamentals and analytical tools to business analysis practice and data-driven transformation.
AI 国际化职场
Practical applications of AI across cross-border commerce, international marketing, sales, and global content workflows.
Global AI Programs
Each series is intended to connect its audience, core business questions, hands-on modules, tools, and learning outcomes. This page currently presents the public roadmap only.
All program series below are in planning and are not presented as currently open cohorts.
跨境电商 AI 实战营
Planned topics include market and product research, customer profiles, English product content, visual production, and international customer communication.
Focus areas
硬件产品出海 AI 实战营
A planned exploration of AI for overseas market research, hardware positioning, technical content, and channel communication.
Focus areas
健康产品出海 AI 实战营
Planned practice around international audience research, compliance-aware content, brand communication, and multilingual workflows.
Focus areas
AI 国际营销与销售实战营
A planned workflow connecting market insight, content creation, prospecting, and sales follow-up for international business.
Focus areas
AI 数字人与内容出海实战营
A planned exploration of AI avatars, multilingual scripts, visual production, and video content for global communication.
Focus areas
Business Applications
For small businesses, growing teams, and business functions, we introduce potential training, workshop, and focused coaching directions around real operating needs.
These are service directions for discussion, not claims of existing client work.
Build a shared team language around business metrics, analysis, and data communication.
Understand the key steps from requirements and data preparation to visualization design.
Identify repetitive work and plan appropriate AI-assisted or automated workflows.
Explore AI across market research, content preparation, customer communication, and follow-up.
Plan practical scenarios for overseas markets, multilingual content, and international communication.
Define learning topics, practical tasks, and review criteria around an organization’s real needs.
Practical Learning & Coaching
Depending on the topic, learning may combine self-study, hands-on workshops, scenario-based projects, focused coaching, or custom corporate training.
Start with a real problem that needs to be solved.
Build the methods needed to complete the task.
Work through an exercise in a specific context.
Check the deliverable, reasoning, and communication.
Turn the work into a reusable and improving process.
The format and duration will vary by topic and need; not every program is defined as a one-day workshop.