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Data Science in 7 days: R Language Fast-Track with Hands-on Projects
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- FormatePub
- ISBN8235274389
- EAN9798235274389
- Date de parution21/04/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIoakim Ioakim
Résumé
Unlock the Power of Data - No Prior Experience Required!Unlike dense, theoretical textbooks, Data Science in 7 Days: R Language Fast-Track with Hands-on Projects is practical and minimalist, helping you quickly master data science. Bridge the gap from beginner to pro. This book guides you in data analysis, statistics, and predictive modeling, providing a streamlined path through data preparation, regression, and classification.
The hands-on projects effectively connect concepts to real-world applications, providing you with practical, step-by-step experience in applying Machine Learning techniques. Master the Essentials of Data Science. Rapid R Mastery: Learn R syntax and programming fundamentals in record time. End-to-End Workflow: Navigate all the aspects of data science, from data collection to the presentation of prediction models.
Data Wrangling: Transform data using the powerful data table package. Visual Storytelling: Master the art of visual storytelling. Learn how to select the perfect chart for any dataset. Transform raw numbers into stunning, professional-grade visualizations using ggplot2. Predictive Analytics: Leverage Machine Learning to make data-driven predictions. Why does this book stand out? Precision Learning: Simple explanations paired with high-impact coding examples to build proficiency fast.
The narrative is concise. Applied Learning: Work with real datasets to solve real-world problems. Ready to get started? Begin mastering data science with R today!
The hands-on projects effectively connect concepts to real-world applications, providing you with practical, step-by-step experience in applying Machine Learning techniques. Master the Essentials of Data Science. Rapid R Mastery: Learn R syntax and programming fundamentals in record time. End-to-End Workflow: Navigate all the aspects of data science, from data collection to the presentation of prediction models.
Data Wrangling: Transform data using the powerful data table package. Visual Storytelling: Master the art of visual storytelling. Learn how to select the perfect chart for any dataset. Transform raw numbers into stunning, professional-grade visualizations using ggplot2. Predictive Analytics: Leverage Machine Learning to make data-driven predictions. Why does this book stand out? Precision Learning: Simple explanations paired with high-impact coding examples to build proficiency fast.
The narrative is concise. Applied Learning: Work with real datasets to solve real-world problems. Ready to get started? Begin mastering data science with R today!