1. Data Mining and Predictive Analytics (Wiley Series on Methods and Applications in Data Mining)
Authored by Daniel T. Larose, this book is an essential read for anyone serious about diving into predictive analytics. Published in 2015, it combines both theoretical concepts with practical applications, providing you with a comprehensive understanding of data mining techniques. Larose does a commendable job in explaining complex topics in an accessible manner, making this book perfect for both beginners and seasoned professionals. If you’re looking to enhance your skills in data-driven decision-making, this book is truly a foundational resource.
2. FORECASTING AND PREDICTIVE ANALYTICS WITH FORECAST X (TM)
In this book by Barry P. Keating and J. Holton Wilson, published in 2018, readers are introduced to Forecast X, a powerful tool for predictive analytics in business. The authors not only explain the analytical methodologies but also offer practical guidance on using this sophisticated software to solve real-world forecasting problems. This book is a goldmine for professionals looking to leverage analytics in their decision-making processes and is a must-have on your shelf.
3. Predictive Analytics for Business Forecasting & Planning
Written by CPF Eric Wilson, this 2021 publication is a fantastic resource for businesses aiming to integrate predictive analytics into their planning processes. The author presents clear methods for forecasting, including case studies that epitomize the application of predictive analytics in different industries. This book is a strategic guide for managers and business analysts who want to improve their forecasting capabilities using data.
4. Using Predictive Analytics to Improve Healthcare Outcomes
This collaboration between John W. Nelson, Jayne Felgen, and Mary Ann Hozak is vital for professionals in the healthcare sector. Published in 2021, the authors delve into predictive analytics’ role in enhancing patient care and operational efficiency in health institutions. The insights provided in this book are not just theoretical; they can lead to tangible improvements in healthcare outcomes, making it a crucial read for healthcare leaders and practitioners.
5. Predictive Analytics For Dummies (For Dummies Series)
In this user-friendly guide by Dr. Anasse Bari, Mohamed Chaouchi, and Tommy Jung, anyone can learn the basics and advanced topics of predictive analytics. Released in 2014, this book simplifies complex concepts, allowing non-experts to equally grasp predictive methodologies. It’s perfect for beginners who want a strong foundation without being overwhelmed by jargon. A must-read for anyone entering the analytics field.
6. Predictive Analytics for Human Resources (Wiley and SAS Business Series)
This insightful book by Jac Fitz-enz and John Mattox II showcases how predictive analytics can revolutionize the human resources field. Published in 2014, it provides frameworks and models to utilize analytics in recruitment, employee engagement, and performance management. This work is a critical read for HR professionals aiming to leverage data for strategic human capital management.
7. Predictive HR Analytics: Mastering the HR Metric
Authored by Dr. Martin Edwards and Kirsten Edwards, this 2019 publication delves deep into mastering HR metrics through predictive analytics. This book emphasizes data-driven decision-making processes that can drastically reduce hiring costs while maximizing talent retention. It is perfect for any HR professional serious about enhancing their analytical skills and using metrics to create engaged teams.
8. Modern Time Series Forecasting Techniques For Predictive Analytics and Anomaly Detection
Chris Kuo’s upcoming book scheduled for release in 2024 is set to redefine how we look at time series data. It aggregates both classical methodologies and contemporary applications, especially focused on anomaly detection. This book is ideal for data scientists and analysts eager to deepen their knowledge of the techniques that can enhance their predictive analytics efforts.
9. Mastering Predictive Analytics With R
Rui Miguel Forte’s book focuses on utilizing R for predictive modeling. Not only does it cover the fundamentals, but it also helps readers develop strategies and intuition around predictive analytics. Published in 2015, this book has become a staple for those wishing to master analytics using one of the most powerful tools available today. Ideal for any data-driven professional looking to enhance their skillset.
10. Predictive Analytics: Microsoft® Excel 2016
Conrad Carlberg’s compact yet powerful guide published in 2017 teaches you how to harness the power of Microsoft Excel for predictive analytics. This book is great for those who may not have access to more complex software but still want to perform predictive analyses. Perfect for business professionals and analysts using Excel daily to improve their operational decisions.
