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Business and Management
Business Analytics and Technology
Business Analytics
1. Introduction to Business Analytics
2. Foundational Concepts
3. Data Management and Preparation
4. Descriptive Analytics
5. Diagnostic Analytics
6. Predictive Analytics
7. Prescriptive Analytics
8. Analytics Tools and Technologies
9. Business Analytics Applications
10. Implementing Analytics in Organizations
Diagnostic Analytics
Root Cause Analysis
Problem Identification Techniques
Problem Statement Formulation
Stakeholder Input Gathering
Analytical Frameworks
Cause-and-Effect Diagrams
The 5 Whys Technique
Fault Tree Analysis
Data-Driven Investigation
Hypothesis Generation
Evidence Collection
Validation Methods
Exploratory Data Analysis
Drill-Down Analysis
Hierarchical Data Exploration
Progressive Disclosure
Roll-Up Analysis
Data Aggregation
Summary Level Insights
Slice and Dice Analysis
Multi-dimensional Analysis
Pivot Table Techniques
Statistical Analysis for Diagnosis
Correlation Analysis
Pearson Correlation Coefficient
Spearman Rank Correlation
Correlation vs. Causation
Comparative Analysis
Before-and-After Comparisons
Control Group Analysis
Benchmarking
Variance Analysis
Budget vs. Actual Analysis
Performance Gap Analysis
Hypothesis Testing
Hypothesis Formulation
Null and Alternative Hypotheses
One-tailed vs. Two-tailed Tests
Statistical Significance
p-values and Alpha Levels
Type I and Type II Errors
Statistical Power
Common Statistical Tests
T-tests
One-sample T-test
Two-sample T-test
Paired T-test
ANOVA
One-way ANOVA
Two-way ANOVA
Post-hoc Analysis
Chi-squared Tests
Goodness-of-fit Test
Test of Independence
A/B Testing
Experimental Design
Sample Size Determination
Result Interpretation
Statistical Significance vs. Practical Significance
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4. Descriptive Analytics
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6. Predictive Analytics