多客科技 发表于 2025-6-17 14:15

AI数据分析工具助力业务决策(中文培训)

作者:微信文章




日期:7月18日,上午9:30 - 下午6:00

地点:上海美国商会上海办公室,上海市黄浦区湖滨路168号无限极荟大厦27楼

swipe for English

工作中我们为了业务表现需要做出决策,然而,这些决策的依据常常是经验、直觉、甚至是压力下的慌乱反应,正确与否全拼运气。数字化让获取数据变得容易,然而,面对海量数据我们却常常无从下手,苦于得不出有效结论。基于数据的业务决策课程专为破除以上困境设计,旨在帮助学员建立数据导向思维和科学决策习惯从而在工作中提升业务表现。本课程兼具系统化、实操性、易掌握三个特点:


系统化:从思维方式入手,为学员搭建起清晰的科学决策逻辑框架,并在合适的步骤中有机地插入数据分析工具,内容关联紧密。学员将掌握系统性的方法,而非相互割裂的单个工具。

实操性:培训中贯彻了一个沉浸式的业务表现提升沙盘模拟,学员将把所学工具带入该场景实操练习,不仅能学会"是什么"和"为什么",还能在培训现场掌握"怎么做"并取得可见的成果。

易掌握:传统数据分析内容往往需要掌握编程语言或复杂的工具操作,而在本课程的数据分析部分,你只需要"说人话"就可以让AI帮你完成复杂的数据分析。


如有问题请联系:

cynthia.xia@amcham-shanghai.org

We need to make decisions for business performance at work. However, decisions are often based on experience, intuition, and even panic reactions under pressure. Whether they are correct or not is simply a matter of luck. Digitization makes it easier to obtain data, but we often struggle to draw valid conclusions when faced with massive amounts of data. This course is designed to overcome the above dilemmas. It helps students build a data analysis empowered decision-making mindset. The course is systematic and practical:


Systematic: Organically insert data analysis tools into a clear overall framework of decision-making. Students will master a systematic approach rather than discrete tools.

Practical: With a Business Performance Improvement simulation case-study embedded, students could actively practice the tools. Not only to learn the "what" and "why", but also master the " how" and achieve visible results onsite.

Easy to Master: Traditional data analysis content often requires coding or complex operating, but in the data analysis section of this course, you only need to speak "human language" to AI and get accurate data analysis result effortlessly.


For questions, please contact:

cynthia.xia@amcham-shanghai.org

Who Should Attend? 适合人群

有业务表现提升和/或数据分析需求的企业各职能人群,包括但不限于研发、生产运营、销售、供应链、人士、行政、市场、卓越运营等。

Professionals in all industries and positions who are in need of business performance improvement and/or data analysis, including but not limited to R&D, production & operation, sales, SCM, HR, admin, marketing, OpEx, etc.

Training Details 培训详情

swipe for English

授课方法

课堂讲授、案例分析、分组讨论、小组练习,模拟游戏

在课程结束时,学员将:


改变固有思维模式:打破"跟着感觉走"和"被数据推着走"的固有模式,建立基于数据分析的科学决策思维。

掌握问题解决方法:掌握通过科学决策提升业务表现的方法。

熟练数据分析工具:熟练使用假设检验、相关分析、回归分析等常用数据分析工具,并掌握背后原理。

学会AI数据分析:掌握通过AI工具完成数据分析的方法。

解决实际工作问题:通过模拟游戏,在培训现场实现某个真实运营场景的业务表现提升。


培训大纲

第一部分:建立思维方式

第二部分:掌握方法工具

某业务表现提升模拟情景的背景介绍(初始状态)

Teaching Method: Lecture, Case Study, Group Discussion, Group Exercise, Simulation Game

Training Outcome:Through this course, participants will be able to:

Change the Mindset: Get rid of their fixed patterns for problem solving and data analysis, while establishing a systematic decision-making mindset based on data analysis.

Master the Method: Master the approach to improve business performance through systematic decision-making.

Upgrade the Skillset: Be proficient in using data analysis tools such as hypothesis testing, correlation analysis, regression analysis, etc., and mastering the logic principles.

Master AI Data Analysis: Learn how to perform data analysis using AI tools.

Solve a Real Problem: Participants will improve the business performance of simulated operation case.


Outline / 培训大纲

Part One: Establish the Mindset

Part Two: Master the Approach

A Simulation Case Study for Business Performance Improvement (Initial Status)

Speaker


Nadya Liu
Founder
Linke Consulting



REGISTRATION

Register for the event, click the 'Read more' link or scan the QR code







Follow Us 关注我们

扫描或长按二维码,或搜索

"上海美国商会长三角中心"

页: [1]
查看完整版本: AI数据分析工具助力业务决策(中文培训)