1. Basketball Analytics: Objective and Efficient Strategies for Understanding How Teams Win
Bask in the knowledge of basketball analytics with this insightful book by Stephen M. Shea and Christopher E. Baker. The authors delve deep into the world of basketball, breaking down complex statistical concepts into easily digestible information. This is not just for coaches or players; it’s a must-read for sports enthusiasts and data aficionados alike. Learn how analytics can shape strategies, enhance performance, and ultimately lead teams to victory. With a perfect blend of theory and practical applications, this book will change how you view sports forever.
2. Machine Learning with KNIME Analytics Platform: Visual programming technique. No coding requires.
Unlock the world of machine learning without the hassle of coding with Dr. Nickholas Anting PhD’s guide. This book cleverly utilizes the KNIME Analytics Platform to teach you machine learning through visual programming. Ideal for beginners, this resource demonstrates how to harness the power of data analytics in a user-friendly manner. You will find yourself exploring extensive data sets and creating predictive models, all while enjoying a simplified path to understanding one of the most revolutionary fields in technology today.
3. Spreadsheet Modeling and Decision Analysis: A Practical Introduction to Business Analytics (MindTap Course List)
Written by Cliff Ragsdale, this book serves as an invaluable resource for anyone wanting to deepen their understanding of business analytics through spreadsheet modeling. With its practical approach, this book offers readers a chance to develop vital skills that can help in making informed business decisions. Structured lessons guide you through both theory and real-world applications. This book is perfect for students and professionals looking to stand out in a data-driven business environment.
4. Learning Social Media Analytics with R
If you want to transform social media data into actionable insights, look no further than “Learning Social Media Analytics with R” by Raghav Bali, Dipanjan Sarkar, and Tushar Sharma. This book takes you through the essentials of navigating data gathered from social platforms and effectively analyzing it to facilitate marketing strategies. Packed with practical examples and R code snippets, this guide is an essential tool for marketers, businesses, and data scientists alike.
5. The Definitive Guide to Azure Data Engineering
Ron C. L’Esteve offers a comprehensive look at modern data engineering within the Azure Cloud ecosystem. This book covers essential topics such as ELT, DevOps, and advanced analytics procedures. The hands-on approach allows readers to elevate their cloud skills while integrating complex concepts into real-user scenarios. It’s not just a technical guide but also a roadmap to leveraging cloud technology effectively for data engineering, making it a must-have in your collection.
6. Crawl, Walk, Run: Advancing Analytics Maturity with Google Marketing Platform
Michael Loban and Alex Yastrebenetsky’s “Crawl, Walk, Run” is an essential read for marketers looking to optimize their use of the Google Marketing Platform. This book provides a structured approach to advancing analytics maturity, improving your marketing strategies incrementally. The user-centered strategies discussed, along with numerous case studies, make it clear how businesses can achieve greater returns on their marketing investments.
7. Real-Time Streaming with Apache Kafka, Spark, and Storm
Brindha Priyadarshini Jeyaraman explores the essential tools for processing data in real time with this comprehensive guide. Covering powerful technologies such as Apache Kafka and Spark, this book serves as a practical manual for creating robust platforms capable of delivering real-time analytics. It’s perfect for data professionals eager to elevate their technical understanding and application of real-time systems in today’s fast-paced data landscape.
8. Customer Data Platforms: Use People Data to Transform the Future of Marketing Engagement
In this revolutionary book, Martin Kihn and Christopher B. O’Hara guide readers through the significance of customer data platforms in modern marketing. They articulate how understanding consumer data can lead to improved customer engagement and stronger brand loyalty. A highly insightful read for marketers, this book provides actionable strategies and case examples that can reinvent your approach to utilizing customer information.
9. Data Engineering with Google Cloud Platform
Adi Wijaya’s guide to data engineering teaches readers how to operationalize scalable data analytics systems on the Google Cloud Platform. Weaving together essential concepts and practical applications, the book covers everything from data storage to processing and analytics. With the ever-growing demand for data engineers, this book is a necessity for those looking to expand their skills in the cloud-based infrastructure and analytics sectors.
10. Seven Layers of Social Media Analytics
Gohar F. Khan provides a multi-faceted approach to understanding social media analytics in his book. Through seven comprehensive layers, he reveals how to mine valuable business insights from social media text, user actions, and networks. This must-read will help not just marketers but any professional wishing to leverage social media data for business advancement. Each chapter is packed with relevant information and engaging examples, ensuring that this guide becomes a staple in your analytics library.
