Finance Data Analysis

This section is aimed at people who have initial exposure to data analysis in the business 本课程通过案例引导大家主动收集和总结不断积累的相关数据，掌握必要的分析方法，挖掘数据中的信息

This training course has been especially developed to introduce analytic methodologies generally used in our business from statistic view and from financial point view, trying to understanding business development, making forecast in more reliable and concrete way, and making business decisions in smart way.

本课程以价值创造作为目标，通过数字化技术手段，来审视和分析数字背后企业或部门存在的机会、问题，在基于工业4.0的环境下，运用不断积累内部的相关管理数字，同时，主动对接外部的各类数据，使之成为对业务有用的信息，进而发现经营中存在的危机，预先做出相应的运营决策，改进不足，规避风险；抓住机会，扩大优势。

This section is aimed at people who have initial exposure to data analysis in the business. In a short period of time, through the case to guide everyone to actively collect and summarize the accumulation of relevance data, obtain the necessary analytical methods, dig out information

课程针对在业务当中初步接触数字分析的人员，通过案例引导大家主动收集和总结不断积累的相关数据，掌握必要的分析方法，挖掘数据中的信息。

Course Objective 课程目标:

1. 进行数据分析的基本思路；
2. 拿到相关信息，对数据进行描绘及其实现方法；
3. 依据数据分析得到有价值性的商业结论及其实现方法；
4. 视觉化呈现的基本方法

1. the basic idea of data analysis;
2. gain the relevant information to describe the data and its implementation method;
3. gain the valuable business conclusion based on relevant analysis;
4. fundamental visualization of data analysis

Who should attend 目标学员?

People with basic data analysis requirements
对数据有基本分析要求的人员

Course Outline 课程大纲:

§ Business data analysis ideas

§ Describing methods generally used in business

o Data description
- Data collection
- Data description
- Methods of data description
- "normal", "deviation" and "anomalies"

o Data explanations
- "the magic wordcloud"
- "objective evaluation of mean value"
- "what is the probability of a special case"
- "the long tail of the market"

o Dig out correct information from data
- "Design product features with smart data!"
- "Is the performance target reasonable?"
- "How to set a smart target?"

§ Information forecasting methods
o The basic idea to excavate influence factors
- Time seasonal factors
- Other relevant factors

o Method and explanations
- Basic forecast method
- Classification

§ Decision tree

§ KNN

§ "What is the next steps?"
- Regression

§ "purchasing price forecast"
o Dig out correct information from data

§ "Which function people is the top learner and why?"

§ Data visualization and explanation

§ 商业数据分析思路

§ 商业活动中常用的数据描述方法

o 数据描述
- 数据的收集
- 数据的描绘
- 描述数据的方法
- "普通"、"偏离"和"异常"

o 数据的解释
- "神奇的词云"
- "客观评价均值"
- "多大的可能性出现特殊情况"
- "市场中的长尾"

o 挖掘出正确的数据信息
- "使用神奇数据进行产品性能设计!"
- "业绩目标合理吗？"
- "如何设定合理的目标？"

§ 数据信息的预测方法

o 挖掘影响因素的基本思路
- 时间季节方法
- 其他相关影响因素
o 方法和数据解释
- 预测的基本方法
- 分类方法

§ 决策树决策

§ 近邻决策

§ "进一步的行动会是什么"
- 回归方法

§ "采购价格预测"
- 挖掘出正确的数据信息

§ "哪些职能人员最好学？为什么?"

§ 可视化信息与数据解释

Agenda

Date: October 22nd 2020
Time: 2:00 pm - 5:00 pm
Language: Chinese
Price: Members 750 RMB | Non-Members 900 RMB
Venue: Online Training
Connection information will be sent to you before the training.

Registration 报名注册

Please scan the QR code or send e-mail to bj-training(@)ccifc.org to register.

Speaker(s)

Grace Zhao 赵立新Coach