In today's accelerated digital transformation, data analysis capability has become the core competitiveness of enterprise decision-making. As a globally leading business intelligence tool, Power BI's deep integration with AI technology is reshaping the data analysis landscape of enterprises. This course focuses on the pain points of traditional Power BI users, such as low data integration efficiency, high modeling complexity, weak dynamic analysis ability, and insufficient visualization innovation. It combines the latest AI technologies (such as natural language processing, intelligent modeling, and automated cleaning) and DeepSeek deep integration solution to systematically cultivate the composite ability of "data thinking+tool application+business insight".
The course focuses on three major breakthroughs:
- By using AI enhanced M language optimization and DAX metric generation, modeling efficiency can be improved by 300%;
- Intelligent data cleaning and sentiment analysis technology based on DeepSeek to achieve value mining of unstructured data;
- Innovative application of SVG dynamic charts, breaking through the interactive limitations of traditional visual analysis.
The course will help practitioners build a complete capability chain from data integration to intelligent decision-making, and establish differentiated competitive advantages in the wave of digital transformation
在数字化转型加速的今天，数据分析能力已成为企业决策的核心竞争力。Power BI作为全球领先的商业智能工具，与AI技术的深度融合正在重塑企业数据分析场景。本课程针对传统Power BI用户在数据整合效率低、建模复杂度高、动态分析能力弱、可视化创新不足等痛点，结合最新AI技术（如自然语言处理、智能建模、自动化清洗）和DeepSeek深度集成方案，系统培养“数据思维+工具应用+业务洞察”三位一体的复合能力。
课程聚焦三大突破点：
- 通过AI增强的M语言优化和DAX度量值生成，将建模效率提升300%；
- 基于DeepSeek的智能化数据清洗与情感分析技术，实现非结构化数据的价值挖掘；
- 创新性应用SVG动态图表，突破传统可视化分析的交互局限。
课程将帮助从业者构建从数据整合到智能决策的完整能力链，在数字化转型浪潮中建立差异化竞争优势。
【适用对象】
- 需要提升Power BI效率的数据分析师
- 财务部门数据分析人员
- 业务部门自主分析人员
- IT部门BI系统建设者
【课程目标】
- 掌握使用Power BI从数据导入、清洗到转换的全流程，提升数据处理和准备效率。
- 掌握数据建模的思路与实践方法，掌握DAX函数的使用与复杂业务指标体系构建。
- 学会运用AI工具进行自动化分析和智能预警，大幅提高分析效率和业务洞察能力。
【课程大纲】
模块一：数据清洗与DeepSeek集成
1.DeepSeek与Power Query深度集成
l 数据质量自动化检测
l 多源数据整合策略
l DeepSeek集成到Power Query
2.智能化数据清洗
l 文本数据自动化提取
l 非结构化数据整理（情感分析案例）
l 根据数据时间范围智能生成动态日历表
模块二：建模与AI生成度量值
1.数据建模核心
l 星型模型设计原则与实战
l AI生成复杂DAX度量值
2.维度与指标解构
l 业务指标拆解方法论
l 业务维度拆解方法论
l 动态维度切换
模块三：智能可视化与动态分析
1.可视化智能增强
l 异常点自动标注与原因解释
l 智能解释业绩增长与下降
2.动态分析技术
l 两表差异自动化分析
l DeepSeek+SVG突破可视化局限
l DeepSeek报告设计建议
3.仪表板设计与发布
l 仪表板制作
l 交互设计
l Power BI报告发布与共享
4.持续学习与资源推荐
l Power BI最新功能更新与应用技巧分享
l AI模型与工具使用指南
持续学习资源与学习社区分享
Speaker: 白永乾
l 10年企业内训经验，600家以上企业内训经验
l 微软内部员工特约讲师，上海交大外聘讲师
l 7年世界五百强公司业务分析师经验
l 微软OFFICE国际认证专家
l 微软国际认证教育专家
Registration 活动注册:
Registration and payment by 11:00am, 17th November, 2025. Please provide Company Name, Name, Title (both in Chinese and English), Mobile Number and Email Box. If any change or update, we will send it to your email box before event. Please kindly check.
活动注册和付费截止2025年11月17日上午十一点。报名时请务必提供中英文的公司名称、姓名、职务，手机号码和邮箱。如有活动变化或更新，我们将在活动前发到您的报名邮箱，请注意查收。
1. Online registration 网上注册
2. Email registration. Email to May: mhuang@europeanchamber.com.cn . The registration is complete only if a confirmation letter is received. 邮件注册，May的邮箱：mhuang@europeanchamber.com.cn 。收到商会邮件确认后注册成功。
Participant can transfer the payment by our bank account and indicate CD20251119. Or contact Chamber staff to get the WeChat account to arrange payment and indicate CD20251119.
报名后可将报名费转账至以下账户，并在银行转账单上附注 CD20251119；也可以联系商会工作人员获取商会微信账号，付款后备注附注 CD20251119。
RMB Bank Account 汇款账号：
A/C Name: 中国欧盟商会
China CITIC Bank 中信银行京城大厦支行
Capital Mansion Sub Branch
No.6, Xinyuan Nan Road
Chaoyang District, 100004 Beijing
A/C No. 银行账号: 7110210182500027543
S.W.I.F.T. Code: CIBKCNBJ100
开户行行号: 302100011026
北京市朝阳区新源南路6号京城大厦
Fapiao Policy 发票开具:
E-Fapiao will be provided in 5 working days by system email box invoice@info.nuonuo.com after the event/training completed. Please send your fapiao information and email address to Chamber staff May if you haven’t provided in your registration process.
电子发票（可开普票或专票）将于活动/培训课程结束后5个工作日内由系统邮箱 invoice@info.nuonuo.com 发到您的报名注册邮箱。若您在注册时未提交发票信息和邮箱地址，请通过邮件发送给商会工作人员May。
Terms & Conditions 活动条款:
Events have limited seating so to ensure your attendance we encourage advance online registration and payment for ALL events. We cannot guarantee entry to anyone not registered in advance.
All our events are held in English and are off-the-record unless otherwise stated.
活动的席位有限。为了确保您的出席，我们建议所有活动都提前网上注册或邮件注册。对于任何未提前注册者，我们都不能保证您的参与。
除特殊说明外，我们全部活动都由英文召开，且均为非公开。
Cancellation Policy 取消报名:
If you cannot attend an event for which you have registered, please cancel your registration no later than two business days prior to the event. If you fail to notify us of your cancellation in a timely fashion, you will be charged for event costs.
To cancel you can: 1) email mhuang@europeanchamber.com.cn , or 2) cancel online if you registered for the event through the website.
如果您不能参加已注册过的活动，请在不少于两个工作日的时间内取消您的注册。若您未能及时地通知我们，我们将收取您相应的活动费用。
如取消注册您可以：1) 发送邮件至 mhuang@europeanchamber.com.cn ； 或 2) 网站注册者可在网上取消。
Disclaimer 免责声明:
Please notice that European Union Chamber of Commerce in China might take photographs from the event and post these on its public web-page (or social media platforms) in order to create awareness of these events. By attending this event you consent to European Union Chamber of Commerce in China taking and using such photographs as described above.
请注意，中国欧盟商会可能会在活动期间拍摄照片，并将这些照片在商会的官方网站或社交媒体平台上公开发布。参加本次活动即表示您同意中国欧盟商会拍摄并使用上述照片。