Excel Training: Complete View on Data Analysis

Language: Chinese

Price:
1200 RMB for Members
1500 RMB for Non Members

Registration will open soon *please note that booking the event in your calendar does NOT mean that you are registered. You need to register first if you want to attend an event.

理思路,懂方法,重实战,轻松玩转数据分析

 

Nowadays, talking with data has become the trend of economic and social development. Data is persuasive in life and work, we use data to verify one's opinion, to give feedback on existing problem, to speculate on the past and predict the future. Data has became the most convincing evidence. The significance of data analysis is to draw a correct conclusion based on relevant data and scientific analysis methods.

一切以数据说话,成为当今经济社会发展的趋势。数据具有说服力,在生活和工作中,我们以详尽的数据来证实观点的正确性、反馈现存的问题,推测过去和预知将来。数据成为最能令人信服的证据。依靠相关的数据,使用科学的分析方法,得出正确的结论就是数据分析的意义。

 

How to analyse data 怎样解读数据

First of all, data analysis is a value to the enterprise, we should treat it seriously;
The next step is to master the principles and methods of interpreting data, such as form design, the method of sorting out, graphical presentation, the use of logics, etc;
Finally, we should apply all to work practice, to analyse our business data accurately and report more persuasively.

首先要明确,数据分析是为企业贡献价值,所以那些为了量化而量化,为了分析而分析的思想是绝不能有的;
接下来是掌握解读数据的原则和方法,例如:表单设计的原则、整理的方法、图表化呈现的方法、数据分析的方法、逻辑的运用方法等;
最后是要将这些好的方法知道如何运用到工作实践中。我们也许不是专业的分析师,但对自己的业务数据应该做到准确分析,更有说服力的汇报。


Competence and Skills Acquired 课程收益

The specialty of this cours is combining data analysis thinking and practical methods with the use of Excel tools, focusing on improving the quality of analysis reports. There are no difficult and complicated operations, the only focus is on thinking method and practical experience.
本课程的特点:将数据分析思维、实用方法与EXCEL工具使用相结合,将重点放在提升分析报告的质量上。
课程中不会涉及枯燥的概念、高深的分析、复杂的EXCEL操作。而是把优秀的思路、实用的经验方法分享给大家,同时再将管理课中引导式教学法融入其中,一天的课程一定收获颇丰。

 

Course Outline 课程大纲

Topic 1: Understanding data analysis

  • The power of data and data analysis
  • 8 problems to avoid in data analysis report
  • Process of data analysis

主题一:心中有数,分析有法

  • 数据和数据分析的力量

o    我们在分析汇报中常犯的错误
o    数据分析的正确思路

  • 分析汇报中应该绕过的八个大坑

o    图形误导
o    量率误导
o    均值误导
o    忽略误差
o    不可比性
o    归因错误
o    忽略基数
o    来源不清

  • 数据分析的三大阶段九个过程


Topic 2: Organization is the key to improve effeciency

  • 4 principles of form design
  • 3 steps to obtain useful data

主题二:规范的整理是提高效率的关键

  • 表单设计的四个原则让你拥有专业清单

o    分类原则
o    统一原则
o    长远原则
o    传承原则

  • 去粗取精三步骤让分析功能不受阻

o    转换数据
o    清洗数据
o    提取数据


Topic 3: 4 ways to analysis

  • Comparative analysis
  • Cross analysis
  • Statistical analysis
  • Matrix analysis

主题三:制胜法宝,四种常用分析法

  • 判断好坏:对比分析法

o    横向对标的四种方法
o    纵向对标的四种方法
o    图表分析中常用的四种辅助线

  • 理清关系:交叉分析法

o    用四步分析法进行数据的交叉分析
o    因素分解:避免找不到分析的起点
o    假设分析:根据数据特点提出假设论点
o    交叉分析:根据假设,用交叉分析工具给出结论
o    报表呈现:用DASHBOARD形式的报表呈现分析结果

  • 指标为王:统计分析法

o    识别数据基本特征的指标
o    用频率和频数找数据的呈现规律
o    组距的科学定义

  • 策略驱动:矩阵分析法

o    两种指标关联的矩阵分析
o    三种指标关联的矩阵分析


Agenda 课程安排:


Date: Friday, December 18th 2020
Time: 9:00 am - 5:00 pm
Venue: Online Training
The access information will be sent by e-mail after registration
Price: 1200 RMB for Members, 1500 RMB for Non Members
* To attend this training, please make sure your Excel version is higher than 2010.
 

 

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