Winter solstice listening to snow sharing--Getting started with data analysis

This article key words: Data analysis Foundation, data analysis Getting Started

Data analysis is the basis of data mining, data mining is the advanced stage of data analysis!

Data analysis, data sources to be objective, the process of data analysis to conform to the rules of business, in line with scientific methods.

Data analysis is a structure-oriented, business interpretation is better!

# Considerations for Data analysis

1, all data analysis to start from the results, inconclusive figures are not analyzed

2, the data analysis should be based on the business model

3, data analysis is based on rigorous data analysis process

1. What Is data analysis?

Definition: The process of analyzing and researching data by using statistical methods to analyze, understand, and achieve the purpose of business analysis, and to obtain useful information and conclusions.

Three stages of data analysis: Descriptive statistical analysis, exploratory data analysis, verifiable data analysis

Data analysis of some feelings, must be combined with specific business!

1, the data analysis needs to use the business thought uses the technology

2, abandon only technical theory

3, business thinking is very important

4, concise model is more suitable

Data analysis is sometimes an art, the same data will be interpreted differently!

2. Data Analysis Work Content

4W mode for analyzing ideas

1. What happened?

2. Why did this happen?

3. How to develop in the future?

4. How should the decision be made?

3, how to do data analysis?

Beforehand: Think clearly-"do what (business);

Thing: Do it right-the data is correct (acquisition, review, processing), the method should be correct (methodology should be correct; algorithm)

Afterwards: Conclusion-"There is a figure (data show);

1, think clearly?

1. What are the business issues?

Business knowledge, business knowledge related to data analysis

Business status, the current situation of business development, the existing problems, with the problem with the business staff to communicate!

Business needs, business needs to solve the demand, with the marketing department

Business problems, business issues to solve

Question 2 Can we do it? Three angles of measurement

Complexity, method

Usability, application of the scene

Feasibility, there is no data to support

Question 3 What do we do?

Data

Personnel

Scheme

2, do right? In the process

Data

Access to Data

Data audit, get the right data

Processing of data

Data processing, to meet data analysis methods of data requirements

Methodology

logical tree

5w2h

PEST

......

Method

Basic Data Analysis method

Advanced data analysis methods, algorithms

Mining model

3. Conclusion

Data, data support conclusion (precision) 80% of the data is used for modeling, and 20% of the data is used to test the model.

Charts, need to be intuitive (data visualization)

conclusion, there must be a conclusion (supporting leadership decision-making)

4. Common Tools for data analysis

Spss

SAS Modeling

R Graphing

MATLAB algorithm

Weka Data Mining

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Winter solstice listening to snow sharing--Getting started with data analysis