Data Science for Decision Makers
eBook Details:
- Paperback: 270 pages
- Publisher: WOW! eBook (July 26, 2024)
- Language: English
- ISBN-10: 1837637296
- ISBN-13: 978-1837637294
eBook Description:
Data Science for Decision Makers: Enhance your leadership skills with data science and AI expertise. Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful results.
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 Data Science for Decision Makers 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.
- Discover how to interpret common statistical quantities and make data-driven decisions
- Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning
- Find out how to evaluate statistical and machine learning models
- Understand the data science lifecycle, from development to monitoring of models in production
- Know when to use ML, statistical modeling, or traditional BI methods
- Manage data teams and data science projects effectively
By the end of this Data Science for Decision Makers book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.
