The Visual Data Language

<p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>The </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Essential KNIME Book</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)> for </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Business Analysts</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)> and </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Data Professionals</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>.</span></p><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>You don't need any prior coding knowledge to get started. With </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>KNIME</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)> Analytics Platform you connect nodes that tell the story of your data and reveal insights-step by step through real-world workflows such as:</span></p><ul><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Personal Finance</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: track and analyze your expenses with Excel and KNIME</span></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Sales Reporting</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: transform raw sales data into dashboards and insights</span></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Weather Analysis</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: loop through datasets and APIs to compare trends</span></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Financial Data</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: retrieve and analyze stock prices for market tracking</span></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Sports Analytics</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: apply predictive models to football match outcomes</span></li><li><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Advanced Visualization</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: recreate Minard's iconic chart with KNIME K-AI and Python</span></li></ul><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>Along the way you'll also set up your own productive </span><strong style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>data science infrastructure</strong><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>: choosing the right operating system software packages and even configuring a dedicated workstation tailored to your needs.</span></p><p><span style=color: rgba(15 17 17 1); background-color: rgba(255 255 255 1)>This book is the practical guide to data science that helps you focus on what matters: solving real problems sharing clear workflows and building confidence in your daily work.</span></p>