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You don't need any prior coding knowledge to get started. With KNIME Analytics Platform, you connect nodes that tell the story of your data and reveal insights-step by step, through real-world workflows such as:Personal Finance: track and analyze your expenses with Excel and KNIME
Sales Reporting: transform raw sales data into dashboards and insights
Weather Analysis: loop through datasets and APIs to compare trends
Financial Data: retrieve and analyze stock prices for market tracking
Sports Analytics: apply predictive models to football match outcomes
Advanced Visualization: recreate Minard's iconic chart with KNIME, K-AI, and Python
Along the way, you'll also set up your own productive data science infrastructure: choosing the right operating system, software packages, and even configuring a dedicated workstation tailored to your needs.
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.
You don't need any prior coding knowledge to get started. With KNIME Analytics Platform, you connect nodes that tell the story of your data and reveal insights-step by step, through real-world workflows such as:Personal Finance: track and analyze your expenses with Excel and KNIME
Sales Reporting: transform raw sales data into dashboards and insights
Weather Analysis: loop through datasets and APIs to compare trends
Financial Data: retrieve and analyze stock prices for market tracking
Sports Analytics: apply predictive models to football match outcomes
Advanced Visualization: recreate Minard's iconic chart with KNIME, K-AI, and Python
Along the way, you'll also set up your own productive data science infrastructure: choosing the right operating system, software packages, and even configuring a dedicated workstation tailored to your needs.
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.
| Erscheinungsjahr: | 2025 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Reihe: | The KNIME Way |
| ISBN-13: | 9791224308034 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Ganzaroli, Dennis |
| Hersteller: |
Dennis Ganzaroli
The KNIME Way |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 254 x 178 x 9 mm |
| Von/Mit: | Dennis Ganzaroli |
| Erscheinungsdatum: | 22.10.2025 |
| Gewicht: | 0,362 kg |
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