Und dann auf "Zum Home-Bildschirm [+]".
Stöbern
genialokal zum Startbildschirm hinzufügen
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Installieren Sie die genialokal App auf Ihrem Startbildschirm für einen schnellen Zugriff und eine komfortable Nutzung.
Ihr gewünschter Artikel ist in 0 Buchhandlungen vorrätig - wählen Sie hier eine Buchhandlung in Ihrer Nähe aus:
Completely updated guide for students, scientists and engineers who want to use Microsoft Excel 2013 to its full potential. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis and presentation of quantitative data. This text provides a straightforward guide to using these functions of Microsoft Excel, guiding the reader from basic principles through to more complicated areas such as formulae, charts, curve-fitting, equation solving, integration, macros, statistical functions, and presenting quantitative data.
Dr. Bernard Liengme attended Imperial College in London and received a BSc & Ph.D. in Chemistry. He also received post-docs at Carnegie-Mellon University in Pittsburgh and the University of British Columbia. He has conducted extensive research in surface chemistry and Mossbauer Effect. He has been at St Francis Xavier University in Canada since 1968 as professor, Associate Dean, and Registrar as well as teaching chemistry and computer science. He is the author of four previous versions of "A Guide to Microsoft Excel for Scientists and Engineers, most recently the Excel 2013 version.
1. Welcome to Microsoft Excel 2013 2. Basic Operations 3. Printing in Excel 4. Using Functions 5. Decision Functions 6. Data Mining 7. Charting 8. Regression Analysis 9. VBA User-Defined Functions 10. VBA Subroutines 11. Modeling I 12. Using Solver 13. Numerical Integration 14. Differential Equations 15. Modeling II 16. Statistics for Experimenters
