As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.
This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.
By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.

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Spis treści

Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise eBook -- spis treści

• 1. Introducing Data Science
• 2. Characterizing and Collecting Data
• 3. Exploratory Data Analysis
• 4. The Significance of Significance
• 5. Understanding Regression
• 6. Introducing Machine Learning
• 7. Supervised Machine Learning
• 8. Unsupervised Machine Learning
• 9. Interpreting and Evaluating Machine Learning Models
• 10. Common Pitfalls in Machine Learning
• 11. The Structure of a Data Science Project
• 12. The Data Science Team
• 13. Managing the Data Science Team
• 14. Continuing Your Journey as a Data Science Leader