DeepSeek Empowers the Advanced Practice of Excel Skills

DeepSeek赋能Excel技能进阶实践

In the era of rapid advancement in intelligent technologies, Excel remains a core tool for professionals in their daily work. With revolutionary breakthroughs in AI technology represented by DeepSeek, traditional spreadsheet skills are undergoing a profound transformation through intelligent upgrades. Professionals across all fields urgently need to master AI technology and deeply integrate it with Excel to break through bottlenecks in efficiency and data processing capabilities.

在智能化技术快速发展的时代背景下，Excel 依然是职场人士日常办公的核心工具。随着以DeepSeek为代表的AI 技术革命性突破，传统表格操作技能正经历智能化升级的深刻变革。各领域从业者都亟需掌握 AI 技术，将其与 Excel 深度结合，从而突破工作效率与数据处理能力的瓶颈。

In practical applications, workplace professionals often face multiple challenges: How to precisely choose from the plethora of AI tools? How to achieve intelligent transformation via AI when traditional spreadsheet functions struggle with complex data scenarios? How to build automated solutions when large volumes of repetitive tasks still rely on manual operations?

在实践应用中，职场人常常面临多重挑战：面对种类繁多的 AI 工具如何精准选择？当传统表格功能难以处理复杂数据场景时，如何通过 AI 实现智能化改造？大量重复性工作仍依赖人工操作，怎样构建自动化解决方案？

This course deeply integrates AI technology into the entire Excel workflow. Through systematic teaching, it helps learners master three core competencies: Intelligent Tool Selection Methodology, Multi-modal Data Processing Techniques, and Workflow Automation Implementation. The course design follows a progressive learning path, assisting learners in making a leap from basic operations to intelligent office work, providing continuous competitiveness for career development in the context of digital transformation.

本课程将 AI 技术深度融入 Excel 工作全流程，通过系统化教学帮助学员掌握三大核心能力：智能工具选型方法论、多模态数据处理技巧、工作流自动化实现。课程设计遵循由浅入深的学习路径，助力学员完成从基础操作到智能办公的跨越式升级，为数字化转型背景下的职业发展提供持续竞争力。

The course will be conducted in a teaching and practice mode. Each participant is required to bring a laptop with a Windows 10 or Windows 11. | 本课程将采用一边教学一边练习的方式进行。每位学员需要带一台已经安装了Windows 10 或者Windows 11的笔记本电脑。

I. Foundation - Basics of AI & Excel Integration | 基础阶段：AI与Excel融合基础

  1、Understanding AI, Clarifying AI Capability Boundaries | 认识AI，厘清AI能力边界

• Capability Boundaries: Excel high-frequency operations AI can/cannot replace | 能力边界：AI可替代/不可替代的Excel高频操作
• Tool Recommendations: Capability comparison of mainstream domestic & international tools | 工具推荐：国内外主流工具能力对比
• Common Misconceptions: Recognizing and preventing AI hallucination | 典型误区：AI幻觉识别与防范
• AI Data Privacy & Security | AI数据隐私与数据安全 

  2、Human-AI Collaboration Methodology - How to Effectively Use AI | 人机协同方法论—如何用好AI

• Human-AI Collaboration: Demand Decomposition → Instruction Generation → Result Verification Loop | 人机协同：需求拆解→指令生成→结果验证闭环
• Prompt Engineering Templates (Formula Generation / Data Cleaning / Code Generation / Report Interpretation) | 提示词工模板（公式生成/数据清洗/代码生成/报告解读）
• Overseas AI Access (ChatGPT & Claude) | 国外AI自由访问（Chat GPT与Claude）
• Localization & Adoption (Integration Guide for DeepSeek/Kimi/Tongyi Qianwen, etc.) | 本土化适配（DeepSeek/Kimi/通义千问等对接指南）
• Making AI Understand You Better (Building Custom Knowledge Bases) | 让AI更懂你（建立定制化知识库）

II. Enhancement - AI-Augmented Excel Data Processing | 提升阶段：AI增强Excel数据处理

  1、Using AI for Intelligent Excel Data Governance | 如何借助AI实现Excel智能数据治理

• Automatic Integration of Multi-source Data (E-invoices / Multiple Excel files / Image-based tables) | 多源数据自动整合（电子发票/多excel文件/图片型表格）
• Intelligent Data Merging & Splitting (Merging data from multiple tables / Splitting data into multiple tables) | 数据智能合并与拆分（多表数据合并/数据拆分为多表）
• Intelligent Text Processing (Address Standardization / Sentiment Analysis / Smart Classification) | 文本智能整理（地址标准化/情感分析/智能分类）
• Anomaly Detection (Generating Data Validation Rules / Smart Multi-Select Drop-down Lists / Complex Rule Conditional Formatting) | 异常数据检测（生成数据验证规则/智能下拉可多选列表/复杂规则条件格式）

  2、Using AI for Dynamic Excel Data Processing | 如何借助AI进行Excel动态数据处理  

• Converting Natural Language to Complex Excel Formulas (Multi-layer logical judgments / Multi-condition lookup / Chinese-style ranking, etc.) | 从自然语言到Excel复杂公式的转化技巧（多层逻辑判断/多条件查找/中国式排名等）
• Formula Debugging (Identifying error types / Providing modification suggestions / One-click fixes) | 公式改错（识别错误类型/提供修改建议/一键修复）
• Automating Chinese-style Reporting (Merged cells / Complex headers) | 中国式报表自动化（合并单元格/复杂表头）
• Directly Calling AI APIs in Excel for Advanced Data Processing (VBA calling AI APIs) | Excel直接调用AI接口进行高级数据处理（VBA调用AI API）

III. Advancement - AI-Driven Excel Advanced Applications | 晋级阶段：AI驱动Excel高阶应用 

  1、AI-Assisted Intelligent Modeling & Analysis | AI助力智能建模与分析 

• Accelerating New Excel Features (Dynamic Arrays / LET + LAMBDA function development) | 助力Excel新功能（动态数组/LET+LAMBDA函数开发）
• AI-Generated DAX Measures (Natural Language to Data Models) | DAX度量值AI生成（自然语言生成数据模型）
• Data Interpretation (Discovering underlying business patterns or hidden issues in tabular data) | 数据解读（从表格数据中发现潜在业务规律或隐藏的问题）
• Intelligent Data Storytelling (Auto-generating chart annotations / Key metric interpretation) | 智能数据叙事（自动生成图表注释/关键指标解读）

 2、Extension - Building Automated Workflows | 拓展-自动化工作流构建 

• AAI-Automated Report Generation (AI + Excel + VBA) | AI自动生成报告（AI + Excel + VBA）
• Refactoring Existing Workflows Using AI (AI + Excel + RPA synergy) | 用AI重构现有工作流程（AI + Excel + RPA联动）