Introduction statistical computing visualization von rathi megha (23 Ergebnisse)

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Zustand: Brand New. 420 pages. 6.14x0.95x9.21 inches. In Stock.

Zustand: New. Dr. Megha Rathi is currently serving as an Assistant Professor (senior grade) in the Department of Computer Science at Jaypee Institute of Information Technology (JIIT), Noida, India. She holds a Ph.D. in Computer Science from Banasthali Universit.

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Taschenbuch. Zustand: Neu. Neuware - The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R. - Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readers - Provides complete code solutions to every problem presented, including detailed answers to even the most complex questions - Presents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contexts - Offers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketing - Focuses on best practices and efficient coding techniques, improving productivity and maintainability of R code.…

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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

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Hardback. Zustand: New. The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readersProvides complete code solutions to every problem presented, including detailed answers to even the most complex questionsPresents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contextsOffers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketingFocuses on best practices and efficient coding techniques, improving productivity and maintainability of R code.…

Hardcover. Zustand: Brand New. 328 pages. 9.18x6.12x9.21 inches. In Stock.

Hardback. Zustand: New. The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readersProvides complete code solutions to every problem presented, including detailed answers to even the most complex questionsPresents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contextsOffers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketingFocuses on best practices and efficient coding techniques, improving productivity and maintainability of R code.…

Paperback. Zustand: new. Paperback. The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readersProvides complete code solutions to every problem presented, including detailed answers to even the most complex questionsPresents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contextsOffers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketingFocuses on best practices and efficient coding techniques, improving productivity and maintainability of R code The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readersProvides complete code solutions to every problem presented, including detailed answers to even the most complex questionsPresents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contextsOffers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketingFocuses on best practices and efficient coding techniques, improving productivity and maintainability of R code 420 pp. Englisch.…

Hardcover. Zustand: new. Hardcover. The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readersProvides complete code solutions to every problem presented, including detailed answers to even the most complex questionsPresents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contextsOffers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketingFocuses on best practices and efficient coding techniques, improving productivity and maintainability of R code The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Megha Rathi is currently serving as an Assistant Professor (senior grade) in the Department of Computer Science at Jaypee Institute of Information Technology (JIIT), Noida, India. She holds a Ph.D. in Computer Science from Banasthali Universit.…

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book provides a foundational guide to statistical computing and visualisation Using R programming with an emphasis on practical data analysis skills that are directly applicable to diverse fields like finance, defence, health, and education. It uniquely combines a thorough explanation of basic constructs with advanced topics such as data visualisation, statistical modeling, and probability, making it accessible yet comprehensive for learners across disciplines. This approach allows readers not only to build essential R skills but also to apply them to real-world scenarios, equipping students and professionals from various disciplines with versatile analytical tools. It offers a comprehensive yet approachable introduction for students and scholars from various disciplines using R.Includes practical and interactive elements such as quizzes, coding exercises, and hands-on projects can provide an engaging and effective learning experience for readersProvides complete code solutions to every problem presented, including detailed answers to even the most complex questionsPresents case studies that can help contextualize the concepts covered in the book by showing how they are used in specific industries, fields, or contextsOffers application-based practical data analysis with cases in various fields and sectors, such as finance, healthcare, and marketingFocuses on best practices and efficient coding techniques, improving productivity and maintainability of R code. …