Training Summary

*Please note that this training will be conducted in Chinese.

*The online training @Teams link will be sent to applicants before the course starts.


In today's accelerated digital transformation, the ability to analyze data has become the core competitiveness of enterprise decision-making. Power BI is one of the world's leading business intelligence tools and the deep integration of AI technology is reshaping the enterprise data analysis scene. This course is designed for traditional Power BI users to tackle data integration efficiency, modeling complexity, dynamic analysis ability, visualization innovation and other pain points. Combined with the latest AI technology (such as natural language processing, intelligent modeling, automated cleaning) and DeepSeek program integration, the course cultivates the ability of "data thinking + tools application+ business insights".


The course focuses on three major breakthroughs: 1) AI-enhanced M-language optimization and DAX metrics generation to improve modeling efficiency by 300%; 2) DeepSeek-based intelligent data cleansing and sentiment analysis technology to realize the value of unstructured data mining; 3) Innovative application of SVG dynamic charts to break through the interactive limitations of the traditional visualization and analysis. The course will help practitioners build a complete capability chain from data integration to intelligent decision-making, and establish a differentiated competitive advantage in the wave of digital transformation.


Applicable to

  • Data analysts who need to improve the efficiency of Power BI.
  • Financial department data analysts
  • Independent analysts in the business department
  • IT department BI system builders


Course Objectives

  • Master the use of Power BI from data import, cleaning to the conversion of the whole process, improve data processing and preparation efficiency
  • Master the idea and practice of data modeling, master the use of DAX function and the construction of complex business indicator system
  • Learn to use AI tools for automated analysis and intelligent warning, significantly improve the analysis efficiency and business insight capabilities


Notice

The training invoice will be issued and sent to the registration email within 7 working days after the training. Cancellation policy: If you are unable to attend the training you have registered for and paid, please cancel your registration at least five working days in advance. If you fail to notify AmCham China of your cancellation in time, we will charge the actual course fee. Thank you for your cooperation and support.

Agenda

9:00 AM - 12:00 PM
Morning Session
12:00 PM - 1:00 PM
Lunch Break
1:00 PM - 4:00 PM
Afternoon Session

Speaker

  • Yongqian Bai

    Yongqian Bai

    - 10 years of in-house training experience, more than 600 companies in-house training experience
    - Special lecturer for Microsoft internal staff, external lecturer for Shanghai Jiaotong University
    - 7 years of experience as a business analyst in a Fortune 500 company
    - Microsoft OFFICE International Certified Specialist
    - Microsoft International Certified Education Specialist
    - Kingsoft Office Most Valuable Experts

    ใ€Clientsใ€‘
    Technology & Pharmaceuticals:
    Microsoft China, Pfizer, Alibaba, Eppendorf, LANXESS Chemical, Glaser Life Sciences, Cognex, STMicroelectronics
    TTElectronics, Boehringer Ingelheim, Abbott, Boston Scientific, Sinopharm, BASF, Synopsys, Wisers Group, Weigao Group, Rinnai
    Finance & Communications:
    Bank of China, DBS Bank, China Merchants Bank, Centaline Bank, Industrial Bank, Ping An Insurance, Pacific Insurance, Dongguan Bank, Cai Rui Consulting, China Mobile
    Automotive & Aviation:
    General Motors, SAIC, Knorr-Bremse, ZF Automotive Systems, Victor Automotive Technology, Antolin China, Spring Airlines, China CNR, Suzhou Rilun, Alfa Laval
    Food & Energy:
    McDonald's, Uni Group, Tyson Foods, Cargill China, Bright Dairy, Shengnong, Chengtou Raw Water, Sino-French Hairun, China Seed International, State Grid, Southern Power Grid, Sinopec, Total, China Resources Yibao
    Others:
    Shanghai Jiaotong University, IKEA, Zippo, Kering, Danfoss, Loesche Grinding, Yupei Group, Kimberly-Clark, Shanghai Public Security Academy, Ansteel Group, Nengshi Investment, Grundfos, Shanghai Baoye, Sibao Consulting, Wolong Holdings, Mercury Marine Technology, TuoLe Trading, Donghao Lansheng, Dawson Tianhe, Shanghai Tobacco Group

    view more

Course Outline

Tickets

Card-holding Members and Employees of Member Companies
Standard Price RMB 1,580
Non-members
Standard Price RMB 1,780
Corporate Group Ticket for 5 Participants
Standard Price RMB 7,500