Business Analytics

  1. Foundational Concepts
    1. Types of Analytics
      1. Descriptive Analytics
        1. Summarizing Historical Data
        2. Diagnostic Analytics
          1. Investigating Causes of Outcomes
            1. Comparative Analysis
            2. Predictive Analytics
              1. Forecasting Future Events
                1. Risk Assessment
                2. Prescriptive Analytics
                  1. Recommending Actions
                    1. Scenario Analysis
                  2. Data Types and Measurement Scales
                    1. Categorical Data
                      1. Nominal Data
                        1. Definition and Examples
                          1. Appropriate Analytical Methods
                          2. Ordinal Data
                            1. Definition and Examples
                              1. Appropriate Analytical Methods
                            2. Numerical Data
                              1. Interval Data
                                1. Definition and Examples
                                  1. Limitations and Use Cases
                                  2. Ratio Data
                                    1. Definition and Examples
                                      1. Limitations and Use Cases
                                  3. The Concept of Big Data
                                    1. Volume
                                      1. Data Storage Challenges
                                        1. Scalability Considerations
                                        2. Velocity
                                          1. Real-Time Data Processing
                                            1. Streaming Data
                                            2. Variety
                                              1. Structured Data
                                                1. Semi-Structured Data
                                                  1. Unstructured Data
                                                  2. Veracity
                                                    1. Data Quality Issues
                                                      1. Ensuring Data Reliability
                                                      2. Value
                                                        1. Extracting Insights
                                                          1. Measuring Business Impact

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                                                      1. Introduction to Business Analytics

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                                                      3. Data Management and Preparation