LEADER 03965nam 2200457zu 450 001 9911011859303321 005 20250709212344.0 010 $a9781837029723 010 $a1837029725 035 $a(CKB)37037328900041 035 $a(FR-PaCSA)88962210 035 $a(FRCYB88962210)88962210 035 $a(DE-B1597)733216 035 $a(DE-B1597)9781837029723 035 $a(EXLCZ)9937037328900041 100 $a20250310d2024 u| | 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExcel 2013 for Scientists$eMaster advanced Excel techniques and data analysis tailored for scientific research and workflows$fBooks, Mrexcel'S Holy Macro! [and others] 210 1$aBirmingham, England$cPackt Publishing$d2024 215 $a1 online resource (321 p.) 311 08$a9781837029730 311 08$a1837029733 327 $tExcel 2013 for Scientists: Master advanced Excel techniques and data analysis tailored for scientific research and workflows 330 $aMaster data visualization, statistical tools, and regression analysis tailored for scientific research in Excel 2013. Discover tools to streamline experiments and improve productivity.Key FeaturesComprehensive guide to Excel 2013 tools tailored for scientific data analysis and modelingPractical examples and exercises designed specifically for research and experimental workflowsDetailed coverage of statistical methods, regression techniques, and advanced graphing toolsBook DescriptionThis 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 learnCreate tailored graphs and charts for scientific research needsAnalyze complex datasets with advanced Excel 2013 functionsUtilize pivot tables for efficient frequency distribution analysisGenerate random data samples for simulation and experimentsDifferentiate key statistical functions for precise calculationsAutomate data validation and formatting to enhance accuracyWho this book is forStudents 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. 606 $aCOMPUTERS / Desktop Applications / Spreadsheets$2bisacsh 606 $aBUSINESS & ECONOMICS / Finance$2bisacsh 606 $aCOMPUTERS / Data Processing$2bisacsh 615 7$aCOMPUTERS / Desktop Applications / Spreadsheets 615 7$aBUSINESS & ECONOMICS / Finance 615 7$aCOMPUTERS / Data Processing 700 $aBooks$b Mrexcel'S Holy Macro!$01824588 701 $aVerschuuren$b Dr. Gerard$01831322 801 0$bFR-PaCSA 906 $aBOOK 912 $a9911011859303321 996 $aExcel 2013 for Scientists$94403504 997 $aUNINA