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Brief Table of Contents

• Part 1: Foundational Chapters
• Chapter 1: Managing the Analytics Project Lifecycle
• Chapter 2: Getting Started with R, RStudio, and ChatGPT
• Chapter 3: Mastering Technical Communication Skills
• Chapter 4: Generating and Assessing Data Quality
• Chapter 5: Classifying Variables and Their Scales
• Chapter 6: Data Wrangling
• Part 2: Preliminary Analytical Chapters
• Chapter 7: Descriptive Statistics
• Chapter 8: Exploratory Data Analysis: The Bivariate Case
• Chapter 9: First Steps in Visual Analytics
• Part 3: Analytical Chapters
• Chapter 10: Linear Relationships and the Logic of Regression Analysis
• Chapter 11: Diagnostic Tests for the OLS Regression Model
• Chapter 12: Predicting Choices: How Logistic Regression Turns Probabilities into Decisions
• Chapter 13: From Data to Insight: Analytical Approaches
• Chapter 14: Machine Learning for the Data Analyst
• Part 4: Final Project
• Chapter 15: Preparing for Your Final Project
• Appendix A: Working Effectively as a Team in Business Analytics
• Appendix B: Gateway to a Business Analytics Career
• Appendix C: Exponents and Logarithms

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