More Reference: data analysis, mining aspect, what books to recommend?
Data analysis books can be divided into the following categories:
- Industry popularity: analysis of data involving "Road";
- Basic theory: that is mathematically related, computer-related knowledge;
- Tools practical operation: "Mastering" learn a tool, or directly on the code;
- Thematic analysis: web analytics, retail analysis, marketing forecasting;
Industry popularity
- Battle big data, car products feel, Zhejiang People's Publishing House;
- Data Analysis Lean, Alistair Croll, Posts & Telecom Press;
- Mathematical beauty, Wu Jun, Posts & Telecom Press;
- How to measure everything, the English title is How to Measure Anything Workbook, Douglas W. Hubbard, currently only Taiwan translated version;
- Super thinking, Aaron Santos, although the book mixed reviews, but to build a thinking estimated target data through common sense is necessary;
- Mathematical Sciences combat, the English called Doing Data Scince, Rachel Schutt
Basic Theory
Probability and Statistics
- Introduction to probability, Dimitri P.Bertsekas, Posts & Telecom Press
- Probability and Statistics (in English), Morris H.DeGroot and other Machinery Industry Press
- Probability Theory and Its Applications (Volume 1 · 3rd edition), William Feller, Posts & Telecom Press
- Probability theory and mathematical statistics, Chen Xiru, University of Science and Technology of China Press
Linear Algebra
- Linear Algebra should learn this, Sheldon Axler, People's Post published
- Linear Algebra and Its Applications, Linear Algebra and Its Applications, David C. Lay, Machinery Industry Press
- MIT has an open class of linear algebra can be viewed on Netease cloud classroom
Data themes
- IBM SPSS Data Analysis and Mining essence of actual cases, Zhangwen Tong, Zhong Yunfei, Tsinghua University Press
This book provides a lot of business case analysis, analysis of ideas of each case are in accordance with CRISP-DM process to explain step by step, is worth learning
- Utilize data: data-driven business analysis of actual combat, Chen Zhe, Electronic Industry Press
Web analytics
- Proficient Web Analytics 2.0, Avinash Kaushik, Tsinghua University Press;
- Proficient Web Analytics: Best Web from expert analysis strategy, Avinash Kaushik, Tsinghua University Press;
- Web analytics combat - how data-driven decision-making, enhance the value of the site, WANG Yan-ping;
Retail Analysis
- Data management: insight into the retail and e-commerce operations, Huang Chengming, Electronic Industry Press;
data collection
- Python network data collection, Ryan Mitchell, Posts & Telecom Press, the English called Natural Language Processing with Python;
- Designing with Data, Improving the User Experience with A/B Testing，讲A/B测试的；
- How to Design and Report Experiments，Andy Field，Graham Hole；
- Insight heart - user interviews secret of success, Steve Portigal,
Data Display
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Graphically speaking: McKinsey complete business communication toolbox, Gene Zelazny, Tsinghua University Press, what the chart, as well as the main content optimization choice to speak at business scene;
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Excel chart the road, Liu Wanxiang, Electronic Industry Press, unimportant tools, methods, and more important; to learn good business charts (The Economist magazine and other periodicals) is one of the sophisticated visualize;
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Written for everyone to see the design document, Robbin Williams, Posts & Telecom Press
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Storytelling with Data: A Data Visualization Guide for Business Professionals, Cole Nussbaumer Knaflic (in translation as: data storytelling);
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The US data: a book to learn visual design, Nathan Yau, China Renmin University Press;
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Fresh data: Data Visualization Guide, Nathan Yau, Posts & Telecom Press;