1. Machine Learning with KNIME Analytics Platform: Visual programming technique. No coding required.
Authored by Dr. Nickholas Anting, this book serves as a perfect introduction to machine learning without requiring extensive coding skills. The visual programming approach makes it accessible for beginners and professionals alike, highlighting the unique capabilities of the KNIME analytics platform. Not only does it provide crucial insights into automation of machine learning tasks, but it also enhances your understanding of data analytics in a hands-on way. This book is perfect for anyone looking to harness the power of visual programming to streamline their data processes.
2. Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code
This collaborative work by Andrea De Mauro, Francesco Marzoni, and Andrew J. Walter focuses on providing an easy-to-follow pathway for individuals eager to understand and utilize data analytics. The book is laden with practical examples and step-by-step instructions, enabling readers to analyze data with confidence. It emphasizes the importance of making informed decisions based on analyzed data, essential for both budding analysts and professionals looking to refine their skills. An excellent read for anyone wanting to thrive in today’s data-driven world!
3. Learn and Conquer KNIME: How to Conquer Big Data and Data Science with KNIME and Become One Of the Most In-Demand Professionals in the Job Market
Tim Bernway’s book is a treasure for those exploring careers in data science and big data. It not only demystifies the use of KNIME but also lays out practical skills that professionals need to master. By focusing on real-world applications and market trends, Bernway equips readers with the tools they need to excel in the job market. Every aspiring data scientist should consider this resource invaluable in their quest for knowledge and market relevance.
4. Data Analytics, Data Visualization & Communicating Data: 3 books in 1
Elizabeth Clarke combines three integral elements of data studies into one comprehensive guide! Not only does it teach data analytics, but it also emphasizes visualization and communication, catering to various learning styles. For anyone looking to enhance their skill set in these areas, this book is a must-have. Its engaging approach helps readers grasp complex concepts and apply them effectively. This title is a fantastic resource for professionals and students alike.
5. KNIME A Complete Guide – 2021 Edition
This in-depth guide provides a thorough exploration of KNIME as a powerful tool for data analytics. The input from The Art of Service – KNIME Publishing provides clarity on advanced functions within KNIME that are critical for analytical tasks. This book serves as a fantastic reference for professionals who want to leverage KNIME fully in their operations and elevate their data analysis capabilities.
6. KNIME A Complete Guide – 2019 Edition
Gerardus Blokdyk’s 2019 edition goes into detail on using KNIME effectively by covering clear, actionable advice and best practices. It is perfect for both newcomers and seasoned users who wish to refresh their knowledge. This guide also assesses the trends in data analytics and how KNIME can fit different organizational needs. It stands out as a reliable source for anyone looking to advance in data careers.
7. Análisis de datos con Power Bi, R-Rstudio y Knime (Spanish Edition)
This book by Jorge Fernando Betancourt Uscátegui and Irma Yolanda Polanco Guzmán is essential for Spanish-speaking professionals in data analytics. It covers various tools including Power BI and R, making it a versatile choice for anyone looking to learn about analytics in their native language. This book enriches the reader’s toolkit and opens doors to bilingual opportunities in the realm of data science.
8. Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data
For those who strive to understand the nuances of data science, this book by Michael R. Berthold and others is a detailed exploration of intelligent methodologies for data usage. It helps readers discern meaningful applications from real data, and it’s filled with practical examples that illuminate the pathway to success in data-driven projects. Overall, this book is an essential reference for anyone aiming to master data science.
9. Ángel Molina, de Administrativo a Analista de Datos: Casos prácticos con KNIME (Spanish Edition)
In this inspiring book, Ángel Molina shares real-life cases and practical examples for those transitioning from administrative roles to data analysts. This Spanish edition highlights the practical applications of KNIME and shows how anyone can learn data analytics effectively. Molina’s approachable style and insightful advice make this book a must-read for aspiring analysts.
10. Data Science Tools: R • Excel • KNIME • OpenOffice
This comprehensive resource, written by Christopher Greco, explores vital tools for data science like R and Excel alongside KNIME. Greco’s book provides practical insights that are necessary for mastering these fundamental tools. Ideal for both new learners and experienced users, this book is critical for anyone looking to upgrade their data science toolkit.
