Data Insights: The Science of Data Analysis
Lexa N. Palmer
This audiobook is narrated by a digital voice.
Unlock the power of data analysis to transform raw information fundamentally. In Data Insights: The Science of Data Analysis, you explore core principles and methods for extracting clarity from complexity. This book guides you through proven workflows—from gathering and cleaning data to crafting visual narratives that reveal hidden trends. You will gain actionable skills that drive decision making.
You learn asking critical questions at every stage.
Beginning with a solid foundation in statistical reasoning, you will develop intuition for descriptive measures, hypothesis testing, and inferential techniques that underpin rigorous analysis. You discover how to choose algorithms wisely, validate models effectively, and avoid common pitfalls such as overfitting and bias. By mastering machine learning essentials—regression, classification, clustering—and exploring the potential of deep learning architectures, you cultivate a versatile toolkit capable of tackling real-world challenges across industries. Detailed examples and best practices illuminate each concept.
What You Will Find In This Book:
Duration - 4h 6m.
Author - Lexa N. Palmer.
Narrator - Digital Voice Martin G.
Published Date - Saturday, 25 January 2025.
Copyright - © 2025 Lexa N. Palmer ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. Unlock the power of data analysis to transform raw information fundamentally. In Data Insights: The Science of Data Analysis, you explore core principles and methods for extracting clarity from complexity. This book guides you through proven workflows—from gathering and cleaning data to crafting visual narratives that reveal hidden trends. You will gain actionable skills that drive decision making. You learn asking critical questions at every stage. Beginning with a solid foundation in statistical reasoning, you will develop intuition for descriptive measures, hypothesis testing, and inferential techniques that underpin rigorous analysis. You discover how to choose algorithms wisely, validate models effectively, and avoid common pitfalls such as overfitting and bias. By mastering machine learning essentials—regression, classification, clustering—and exploring the potential of deep learning architectures, you cultivate a versatile toolkit capable of tackling real-world challenges across industries. Detailed examples and best practices illuminate each concept. What You Will Find In This Book: Duration - 4h 6m. Author - Lexa N. Palmer. Narrator - Digital Voice Martin G. Published Date - Saturday, 25 January 2025. Copyright - © 2025 Lexa N. Palmer ©.
Language:
English