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Learning Academy

Clear learning paths for analytical thinking and applied AI

QW Data organizes knowledge, program plans, and practical methods around two directions: data analytics and AI for the global workplace.

Learning Academy

Two directions, one business-outcome mindset

The goal is not to end with a list of tools. Content connects a business problem, an applicable method, a hands-on task, and a deliverable that can be reviewed.

01

数据分析学院

Data Analytics Academy

Build from digital fundamentals, SQL, Python, BI, and Tableau into analytical thinking, business analysis practice, industry applications, and data-driven transformation.

  • Fundamentals
  • Analytical Thinking
  • Business Analysis Practice
  • Industry Applications
  • Data-Driven Transformation
Enter Data Analytics Academy
02

AI 国际化职场

Global AI Workplace

Apply AI in cross-border commerce, global product work, international marketing and sales, and multilingual content production.

  • Cross-Border E-commerce
  • Global Hardware
  • Global Wellness
  • International Marketing & Sales
  • AI Avatars & Content
Enter Global AI Workplace

Learning Method

Start with the business problem, not the tool name

Topics may use self-study, hands-on workshops, scenario-based projects, or focused coaching, while following the same path toward useful work.

  1. 01

    Define the Problem

    Clarify the problem, audience, and context of use.

  2. 02

    Learn the Method

    Build the framework and techniques needed for the task.

  3. 03

    Complete the Task

    Create a reviewable output in a specific scenario.

  4. 04

    Review and Improve

    Check the reasoning, quality, and communication, then make the process reusable.

Choose the direction closest to your current task

A shared detail template presents the audience, core questions, modules, tools, intended learning outcomes, and related resources.

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