Spring Data Analysis Thinking Course

First, miscellaneous

1, tool

2, sql Frequently Asked Questions

 

 

 

 

3, the data abnormal troubleshoot

 

 4, into a special - thematic analysis

5, interview

 

 

Second, the four industry data analysis

1, the electricity supplier Data Analysis - A Case Study of Jingdong

1.1 drainage

It can be seen up to "search" distribution efficiency; secondly, 618 mainly affects the "Search" function. Therefore, during the event we need to put major resources to the "search" tilt

1.2 Funnel

for example

Pull the new 1.3

 

2, Internet banking - credit, for example sesame

2.1 Variable Selection

 

2.2 Data Processing

  

2.3 Data standardization

Specific programs 2.4

 

For example

Model Assessment

3, the gaming industry - as an example to joy Landlords

 

Can be found, the reflux rate after 7 days to stabilize at 0.05, so the loss of a period of seven days (we can carry out marketing activities of these users about the loss of part of the day 5 or 6 days to go, to attract them back)

4, sales of traditional industries

  

4.1 Interpretation demand

 

4.2 Regional completion rate

4.3 Each store completion rate

  

3 stores slightly (affected by the policy, low volume)

 

 

Third, the specific methodology

1, the index system set up

 

Examples: know almost

2, traffic analysis

2.1 Channel Analysis

 

2.2 Value Analysis

 

2.3 Flow Wave Analysis

 

3, path analysis

 

"Enjoy gourmet" As the largest exposure interface, the conversion rate is only 20%, it is obvious that the function that there is a problem, follow the guidance function is to strengthen or weaken the exposure required further analysis.

    

4. Competitive Analysis

  

Excellent fond of Fantastic Art Members Case Studies

  

  

       

5, marketing campaign analysis

 

      

 Case explain - for example Baidu APP

   

  

6, subscriber growth analysis

    

  

 

Fourth, the thematic analysis of standardized processes

1, problem definition and dismantling

  

    

2, put the number of analysis and SQL

 

 

3, report writing

    

Case - make-up industry analysis (red font for the instructor reviews)

   

  

  

  

  

  

4, AB test

  

Case

   

 

 

Fifth, the data analyst's personal qualities

1, industry analysis

  

  

  

  

2, Data Warehousing

3, user research

     

 

   

    

  

 

 

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Origin www.cnblogs.com/little-monkey/p/11188205.html