[Reading Notes - > data analysis] Introduction to BDA textbook data analysis

BDA The teaching material 《 Data analysis 》 Book Introduction

BDA

BDA Data analysis vocational skill level .

• It aims to cultivate students based on Data analysis theory 、 Computer technology and Industry Case Application “ Three dimensional integration ” Big data analytics talent .
• To cultivate Data management 、 Data analysis 、 data mining 、 Data Insight Compound and application-oriented professionals in .

BDA The data analyst certificate is divided into Member level 、 primary 、 Intermediate and quasi advanced 、 senior Five levels . The ability requirements are as follows ：

1. Member level ： Office automation 、 Basic skills of data collection
2. primary ： above + Routine data processing 、 Analytical and presentation skills
3. intermediate ： above + basic Network data collection 、 Data mining capabilities ; Have and large database management personnel 、 The ability of big data framework engineer team to work together
4. Quasi advanced ： above + Not basic Network data collection 、 Data mining capabilities ; Have the ability to assist senior data analysts
5. senior ： above + On a large scale Data processing 、 Analytical and presentation skills ; Have the comprehensive ability to undertake the design and implementation of big data projects

Book knowledge

• data collection
• Data preparation
• Data visualization
• Descriptive analysis
• Inferential analysis
• Time series analysis
• Data report writing

Chapter content

1. The concept of data 、 classification 、 Value and method of data analysis 、 Steps and tools
2. Data collection before data analysis 、 Preparation for storage and pretreatment
3. The concept of data visualization 、 Principle and various commonly used analysis methods
4. Concentration trend 、 Discuss the descriptive analysis methods of data from the perspectives of dispersion degree and overall distribution
5. Two kinds of inferential statistical analysis methods, parameter estimation and hypothesis test based on sample data in normal population
6. Correlation analysis and regression analysis of the correlation between variables
7. Trend time series data 、 Seasonality 、 Periodic analysis
8. From Market Research 、 Universal application 、 The writing method of data analysis report is discussed from the perspective of academic research , And three specific application cases are listed