How to become a top data analyst

What Is data analysis?

Data analysis refers to the use of appropriate statistical analysis methods to collect a large amount of data analysis, they are summarized, understood and digested, in order to maximize the development of data functions, play the role of data.

The purpose of data analysis is to concentrate and distill the information behind a large number of seemingly disorganized data, and summarize the inherent law of the research object. In practical work, data analysis can help managers to make judgments and decisions in order to take appropriate strategies and actions.

Data analysts refer to professionals who specialize in industry data collection, collation, analysis, and industry research, assessment and forecasting based on data.

Data analyst Growth Route Description:

the route is mainly to include the basic knowledge of data analysis, learning and using Excel Spss/sas eg and other analytical tools, through the appropriate statistical analysis of the collection of large amounts of data analysis practice, they are summarized, understood and digested, In order to maximize the development of data functions, to play the role of data.
Learning Goals:
(1) take you into the world of data, expand your horizons.
(2) master and use Spss/sas eg and other analytical tools.
(3) Understand the application of data analysis in concrete practice.
Learning suggestions:

Look at 1000 times, rather than do it yourself, video education not only to listen to the teacher on-line, but also the main thing is to explain the content of the teacher's knowledge points, his own hands to create cases.

Essential theoretical knowledge of data analysis primer

Data Analyst Primer , but data analysis and data mining and standing knowledge;

It is mainly about studying statistics and probability theory, choosing corresponding books and courses according to their own situation.

Learning Data recommendation:

• ? Post-requisite skills for data analysis and data mining classes
• ? In layman's information: Data analysis
• ? Comic statistics
• ? Probability theory and Mathematical Statistics fourth edition
• ? Multivariate statistical analysis
• ? Probability theory and mathematical statistics-Data analyst Essentials

Data Analysis Beginner

Learn and apply statistics-related skills SQL, EXCEL, Oracle

• Learning Data recommendation:
  ? Data analysis: Using SQL and Excel
• ? Getting Started with Excel forms basics and Common functions video tutorials
• ? Learn Excel Incrementally
• ? Pivot Guo Anding Excel Basics Course
• ? Don't be afraid, excelvba is actually very simple.
• ? Excel Advanced Apps
• ? SQL (Chinese version)
• ? Oracle PDF (PDF)
• ? 13 Lessons to learn about Sql2008 's story
• ? Case-based SQL Optimization video tutorial
• ? SQL Server database Technology Daquan Teaching

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• Data Analyst Intermediate
  

• In-depth knowledge and knowledge of data analysis tools and methodologies, skilled use of 1-2 statistical analysis tools such as R, Python, SPSS, SAS

  • Learning Books Recommended:
    ? R language Combat
  • ? Data analysis and R language video tutorials
  • ? Advanced R Language--Data presentation
  • ? Financial data analysis of R seven weapons Quantmod
  • ? Python Learning Handbook
  • ? Using Python for data analysis
  • ? Mid Valley Education Python topics
  • ? SPSS statistical analysis from beginner to proficient
  • ? Statistics found: Using SPSS
  • ? [Basic SPSS statistical Analysis Tutorial]. Zhang Wentong. Text version
  • ? [Advanced tutorial on SPSS statistical analysis]. Zhang Wentong. Text version
  • ? SPSS from introductory to practical video tutorials
  • ? Statistical analysis and data mining of SPSS
  • ? Applied statistical analysis of Xi ' an Jiaotong university SPSS
  • ? Fundamentals of data analysis and SPSS drills
  • ? SAS Development Classic Case Analysis
  • ? Statistics found: Using SAS
  • ? Get started with SAS to master video tutorials
  • ? Data analysis and SAS video tutorials
  • ? SAS Beginner Intermediate Advanced Tutorials Summary
  • ? SAS Certified Training Courses
  
  
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Data Analytics Advanced Data Mining

Advanced data analysis is data mining and machine learning, mastering data mining methods and machine learning applications

• Learning Books Recommended:
  ? Data mining: Concepts and technologies
• ? Machine Learning Combat Chinese text version
• ? Data Mining with R
• ? Data mining: Using SAS EM
• ? Machine learning & Deep Learning Classic data collection
• ? Read machine learning, big data/Natural language processing/algorithms
• ? Data mining of Zhejiang University Distance Education Institute (top)
• ? Data mining of Zhejiang University Distance Education Institute (bottom)
• ? Data Mining Teaching Series Video Course
• ? Machine learning-Stanford University Open Class
• ? Big Mouth ramble about data mining

Data business applications and case studies

The application and practice of data analysis in the fields of finance, e-commerce, electric power and manufacturing are described.

• Learning Books Recommended:
  ? RFM analysis of member customer transaction data using Excel
• ? How predictive analytics models can be used in business
• ? Case studies and industry applications

How to become a top data analyst