Applying analytics : a practical introduction

 Content: Introduction  What Is Analytics?  What Makes an Analyst?  How Is Analytics Done? Analytics in Groups Onward!  Elements  Introduction Stevens' Levels of Measurement Continuous and Discrete Scales  Attributes Data Sets  Lists  Introduction  Two Example Lists Elementary Analyses Additional Techniques The Normal Distribution and the Height List  Hypothesis Testing and Frequency Distributions  Significance of Results  Discarding Data from Normally Distributed Data Sets  Uncertainty and Error  Introduction  Definitions, Descriptions, and Discussion Quantification of Uncertainty Propagation of Uncertainty Uncertainty in the Mean  Why Is This So Unsettling?  1-Dimensional Data Sets  Introduction  Element Spacing Three Example 1-Dimensional Data Sets Interpolation  Smoothing Fitting 1-Dimensional Data Sets Increasing Local Contrast Frequency Analysis  Filtering  Wavelet Analysis (Advanced Topic)  Related Lists and 1-Dimensional Data Sets  Introduction  Jointly Measured Data Sets  Example 1-Dimensional Linked Data Sets Correlation Ratios Fitting Related Lists and 1-Dimensional Data Sets Correlation Functions  2-Dimensional Data Sets  Introduction  Example 2-Dimensional Data Sets Restructuring Data Sets  Analogs of 1-Dimensional Techniques Analogs of 1-Dimensional Techniques for Related 2-Dimensional Data Sets Higher-Dimensional Data Sets  Unstructured Data Sets  Introduction  Extracting Structure from Unstructured Data  Text Mining  Bayesian Techniques  Prescriptive Decision Analysis  Introduction  Understanding the Decision Environment  Determining and Structuring Objectives  Identifying Alternatives  Utility Functions  Decision Trees  Game Theory Negotiations  Project Management  Introduction  How Analytic Projects Are Typically Managed  A Methodology for Project Management Hastening Project Completion  Project Management of Analytic Projects  Other Project Management Methodologies  Communicating Analytic Findings  Introduction  Fundamental Principles of Analytic Communication Medium Audience Tips for Data Visualization  What to Do Next   Bibliography  Index  Exercises appear at the end of each chapter.