• Data movement • Data manipulation • Control structure • Suggested reading

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（习题，原书第4版）chapter 2 Descriptive Analytics I：Nature of Data, Statistical Modeling, and Visualization

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（习题，原书第4版）chapter 1 An Overview of Business Intelligence, Analytics, and Data Science

 Normal distribution for continuous data  Binomial distribution for binary categorical data

《商务智能：数据分析的管理视角 Business Intelligence, Analytics, and Data Science：A Managerial Perspective》教学资源（教师手册，原书第4版）04 Predictive Analytics I：Data Mining Process, Methods, and Algorithms

1 数据科学 2 数据挖掘

• Introduction & Motivation – Stream computation model, Applications • Basic stream synopses computation – Samples, Equi-depth histograms, Wavelets • Mining data streams – Decision trees, clustering, association rules • Sketch-based computation techniques – Self-joins, Joins, Wavelets, V-optimal histograms • Advanced techniques – Sliding windows, Distinct values, Hot lists • Future directions & Conclusions

 Review  Consumption under Certainty  Consumption under Uncertainty  Empirical Application • Aggregate data • Household data  Optimal Lifetime Portfolio

《Managing XML and Semistructured Data》教学资源（PPT课件讲稿）Part 04 Compressing XML Data

 What is WEKA?  The Explorer:  Preprocess data  Classification  Clustering  Association Rules  Attribute Selection  Data Visualization  References and Resources