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About the Book

This book offers a refreshing perspective on statistical analysis and modeling for beginners, bridging the gap between theoretical concepts and real-world applications. Author Sid has crafted a comprehensive guide comprising ten chapters that cover a wide array of topics, starting with descriptive statistics of various types of quantitative variables and moving on to regression modeling, outlier analysis, model calibration, and more.

What sets this book apart from traditional statistics textbooks is its hands-on approach, empowering readers to dive into practical data analysis using housing data from different counties. Sid recognizes that young people, in particular, can easily relate to housing data, making the learning experience more engaging and relevant for them. By focusing on housing market statistics, the book aims to make statistical concepts more accessible and applicable to everyday life. Throughout the book, Sid demonstrates how to effectively leverage Excel's Data Analysis ToolPak, PivotTables, charts, and graphs to perform statistical analysis and modeling. The book equips readers with the necessary skills to analyze and model data with confidence by providing practical examples, detailed explanations, and extensive insights. Whether you're a novice eager to grasp the fundamentals of statistical analysis or a seasoned professional looking to elevate your modeling strategies, this guidebook is designed for you. The engaging writing style, combined with numerous tables and charts, makes even the most complex statistical concepts more digestible and easier to understand, ensuring that this guidebook is a valuable resource for a diverse audience.

Overall, “A Beginner’s Guide” is a valuable resource for anyone interested in expanding their knowledge of statistical analysis and modeling. Sid's emphasis on practical learning and relevant real-world examples makes this guidebook a must-have for individuals looking to develop their analytical skills and gain a deeper understanding of statistical concepts. Dive into the world of statistical analysis with this comprehensive guide and unlock the potential of Excel for data analysis and modeling.

About the Author

Sid Som