The basics of working with KNIME Analytics Platform
Nakladatelství: Barbora Štětinová
Dostupnost: Ihned
Informace
Unlock the power of data with KNIME and transform your analytics skills - no programming required!
In a world driven by data, mastering the right tools can be your greatest advantage. The Basics of Working with KNIME Analytics Platform is your ultimate guide to navigating and harnessing the full potential of KNIME, one of the most powerful and user-friendly platforms for data analysis and machine learning.
Written by data analytics expert Barbora Štětinová, this comprehensive guide simplifies complex data processes through hands-on examples and practical workflows. Whether you're a business analyst, a data science enthusiast, or a professional looking to automate your data tasks, this book equips you with the knowledge to transform data into actionable insights.
What You'll Learn:
Effortless Data Preparation: Load, filter, and transform data with simple drag-and-drop nodes, eliminating the need for coding.Powerful Data Manipulation: Master techniques for data joining, aggregation, and cleaning to make your data analysis efficient and accurate.Insightful Data Visualization: Create compelling charts and dashboards to communicate your findings effectively.Machine Learning Made Easy: Build predictive models and deploy them using KNIME's intuitive interface, complete with real-world examples.Best Practices and Tips: Discover expert tips for optimizing your workflows and learn how to handle common challenges in data analytics.
With easy-to-follow explanations, step-by-step guides, and engaging examples, this book turns beginners into proficient KNIME users and empowers experienced professionals to expand their analytical capabilities. By the end, you'll be able to create, evaluate, and deploy sophisticated data workflows that drive value and insight across your projects.
Get ready to revolutionize your data analytics journey with KNIME!
Počet stran: 170
Rok vydání: 2024
ISBN: 9798345512098
Online publikace (formáty ePub, PDF, PDF, ePub, MOBI, MOBI)
Hodnocení
Vložte Vaše hodnocení
Unlock the power of data with KNIME and transform your analytics skills - no programming required!
In a world driven by data, mastering the right tools can be your greatest advantage. The Basics of Working with KNIME Analytics Platform is your ultimate guide to navigating and harnessing the full potential of KNIME, one of the most powerful and user-friendly platforms for data analysis and machine learning.
Written by data analytics expert Barbora Štětinová, this comprehensive guide simplifies complex data processes through hands-on examples and practical workflows. Whether you're a business analyst, a data science enthusiast, or a professional looking to automate your data tasks, this book equips you with the knowledge to transform data into actionable insights.
What You'll Learn:
Effortless Data Preparation: Load, filter, and transform data with simple drag-and-drop nodes, eliminating the need for coding.Powerful Data Manipulation: Master techniques for data joining, aggregation, and cleaning to make your data analysis efficient and accurate.Insightful Data Visualization: Create compelling charts and dashboards to communicate your findings effectively.Machine Learning Made Easy: Build predictive models and deploy them using KNIME's intuitive interface, complete with real-world examples.Best Practices and Tips: Discover expert tips for optimizing your workflows and learn how to handle common challenges in data analytics.
With easy-to-follow explanations, step-by-step guides, and engaging examples, this book turns beginners into proficient KNIME users and empowers experienced professionals to expand their analytical capabilities. By the end, you'll be able to create, evaluate, and deploy sophisticated data workflows that drive value and insight across your projects.
Get ready to revolutionize your data analytics journey with KNIME!
Počet stran: 170
Rok vydání: 2024
ISBN: 9798345512098
Online publikace (formáty ePub, PDF, PDF, ePub, MOBI, MOBI)
Vložte Vaše hodnocení
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