Excel 2013 for Scientists : Master advanced Excel techniques and data analysis tailored for scientific research and workflows
Master data visualization, statistical tools, and regression analysis tailored for scientific research in Excel 2013. Discover tools to streamline experiments and improve productivity. Key Features: Comprehensive guide to Excel 2013 tools tailored for scientific data analysis and modeling ; Practica...
保存先:
| 第一著者: | |
|---|---|
| フォーマット: | Livre numérique |
| 言語: | Anglais |
| 出版事項: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| オンライン･アクセス: | Accès Université d'Orléans et IFPM |
| 注記: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781837029723.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Excel 2013 for Scientists, Master advanced Excel techniques and data analysis tailored for scientific research and workflows, Dr. Gerard Verschuuren, Birmingham, Packt Publishing, 2024, 1 vol. (321 p.), 978-18-3702-973-0 |
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|---|---|---|---|
| 001 | 1287971 | ||
| 008 | 250217s2024 xxg ||| |||| 00| 0 eng d | ||
| 009 | PPN283328940 | ||
| 020 | |a 9781837029723 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Verschuuren, Gerard M. | |
| 245 | 1 | 0 | |a Excel 2013 for Scientists : |b Master advanced Excel techniques and data analysis tailored for scientific research and workflows |c Dr. Gerard Verschuuren. |
| 260 | |a Birmingham : |b Packt Publishing. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2024. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781837029723.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a Master data visualization, statistical tools, and regression analysis tailored for scientific research in Excel 2013. Discover tools to streamline experiments and improve productivity. Key Features: Comprehensive guide to Excel 2013 tools tailored for scientific data analysis and modeling ; Practical examples and exercises designed specifically for research and experimental workflows ; Detailed coverage of statistical methods, regression techniques, and advanced graphing tools. Book Description: This book provides a detailed guide for scientists to fully utilize Excel 2013 for data analysis, visualization, and statistical modeling. It begins with core spreadsheet techniques like range names, nested functions, and cell referencing, creating a strong foundation for advanced skills. Tailored examples help readers understand how to apply these basics in scientific contexts. The book progresses into advanced data analysis tools, covering pivot tables, lookups, conditional formatting, and filtering techniques. Regression methods, curve fitting, and distribution simulations are explored, allowing readers to analyze trends, predict outcomes, and validate data. Statistical methods such as ANOVA, significance testing, and sampling techniques are presented with practical examples to reinforce learning. Later chapters focus on advanced graphing techniques, customizing charts, and working with complex functions like arrays and nonlinear regression. Exercises and step-by-step instructions ensure concepts are clear and practical. By the end, readers will confidently apply Excel tools to streamline experiments, enhance productivity, and achieve scientific precision. What you will learn: Create tailored graphs and charts for scientific research needs ; Analyze complex datasets with advanced Excel 2013 functions ; Utilize pivot tables for efficient frequency distribution analysis ; Generate random data samples for simulation and experiments ; Differentiate key statistical functions for precise calculations ; Automate data validation and formatting to enhance accuracy. Who this book is for: Students and professionals in science, engineering, and related fields seeking practical Excel skills will find this book helpful. Basic familiarity with Excel is recommended. No advanced programming or statistical background is required | ||
| 776 | 0 | |t Excel 2013 for Scientists |o Master advanced Excel techniques and data analysis tailored for scientific research and workflows |f Dr. Gerard Verschuuren |c Birmingham |n Packt Publishing |d 2024 |p 1 vol. (321 p.) |z 978-18-3702-973-0 | |
| 856 | 4 | |5 452349901:845618296 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88962210 |z Accès Université d'Orléans et IFPM | |
| 997 | |0 1287971 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/ScholarVox (ebooks)/ | ||