Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning 1st Edition
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In "Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning," Alex Gutman and Jordan Goldmeier dismantle the complexities surrounding data science, empowering readers to engage thoughtfully and confidently with data-driven insights. Award-winning data scientists, they bridge the gap between hype and reality in the realm of data, equipping professionals of all backgrounds with essential skills for navigating the data landscape.
The book serves as a comprehensive guide, focusing on practical skills that enhance both personal and organizational success:
The book serves as a comprehensive guide, focusing on practical skills that enhance both personal and organizational success:
- Statistical Thinking: Readers learn to think statistically, gaining insights into how variation influences decision-making and understanding the implications of statistical results encountered in everyday work.
- Effective Communication: It emphasizes the importance of speaking intelligently about data, equipping readers with the ability to ask pertinent questions and interpret statistical outcomes effectively.
- Machine Learning and AI: The authors demystify advanced topics such as machine learning, deep learning, and AI, providing clarity on their applications and implications in business contexts.
- Pitfall Avoidance: Common pitfalls in working with and interpreting data are highlighted, empowering readers to make informed decisions and avoid errors.