Section 2.1 Data and Data Type 数据与数据类型 Section 2.2 次数分布表 Section 2.3 次数分布图 Section 2.4 平均数 Section 2.5 变异数

1 Basic Operations 2 Data Handling 3 Plotting Data 4 Start Programming 5 A Better Sound 6 Create and Proccess Images 7 Data Analysis 8 The Charm of Graphical User Interface 9 Psychtoolbox: Video 10 Psychtoolbox: Sound, Keyboard and Mouse

Why statistics is important How statistics is used in business The sources of data used in business The types of data used in business The key terms The basics of Microsoft Excel

1 Introduction 2 SAS Language 2.1 Proc Step and Data Step 2.2 SAS Logical Library 2.2.1 Access SAS file 2.2.2 View SAS library and file 3 SAS Programming 3.1 Reading data by DATA STEP 3.2 Output format 3.3 Manipulate datasets 3.3.1 SET statement 3.3.2 SORT proc 3.4 Logical statements 3.4.1 IF-THEN statement 3.4.2 SELECT-WHEN statement 3.4.3 DO-ENDS statement 3.4.4 DO-WHILE DO-UNTIL statement 3.5 OPERATIONS 4 Basic statistical analysis 4.1 Descriptive Statistics Proc 4.1.1 MEANS proc 4.1.2 SUMMARY proc 4.1.3 UNIVARIATE proc 4.1.4 TABULATE PROC 4.1.5 GCHART proc 4.1.6 GPLOT proc 4.2 INFERENTIAL Statistics 4.2.1 T-TEST 4.2.2 Chi-square tests 4.2.3 Correlation 4.2.4 Regression

• Concepts and Terminology • Analog and Digital Data Transmission • Transmission Impairments • Channel Capacity

电子科技大学：《数据分析与数据挖掘 Data Analysis and Data Mining》课程教学资源（课件讲稿）Lecture 04 Association Rules of Data Reasoning（FP-growth Algorithm）

Purpose of speech corpora Factors to be considered in data creation Data creation Data transcription Learning from corpora Chinese Corpus Consortium (CCC)

10.1 Introduction 10.2 Empirical Studies and Statistical Inference 10.3 Important Features of Big Data 10.4 Big Data Analysis and Statistics 10.5 Machine Learning and Statistics 10.6 Conclusion

 Data Center Introduction  Data Center Network Architectures  Fat-Tree  VL2  DCell  BCube  FiConn

▪ Overview ▪ Data Warehousing ▪ Online Analytical Processing ▪ Data Mining