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- Author: Bernard Liengme
- Publisher: Academic Press
- ISBN-10: 0128182490
- ISBN-13: 9780128182499
- Format: 19.1 x 23.5 x 2.2 cm, softcover
- Language: English
- SAVE -10% with code: EXTRA
Liengme's Guide to Excel 2016 for Scientists and Engineers (e-book) (used book) | bookbook.eu
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Liengme's Guide to Excel 2016 for Scientists and Engineers is a completely updated guide for students, scientists, and engineers who want to use Microsoft Excel 2016 to its full potential, whether you're using a PC or a Mac. 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.
EXTRA 10 % discount with code: EXTRA
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- Author: Bernard Liengme
- Publisher: Academic Press
- ISBN-10: 0128182490
- ISBN-13: 9780128182499
- Format: 19.1 x 23.5 x 2.2 cm, softcover
- Language: English English
Liengme's Guide to Excel 2016 for Scientists and Engineers is a completely updated guide for students, scientists, and engineers who want to use Microsoft Excel 2016 to its full potential, whether you're using a PC or a Mac. 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.
Reviews