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010   $a981-9946-61-1
024 7 $a10.1007/978-981-99-4661-7
035   $a(MiAaPQ)EBC31062959
035   $a(Au-PeEL)EBL31062959
035   $a(DE-He213)978-981-99-4661-7
035   $a(CKB)29574846400041
035   $a(EXLCZ)9929574846400041
100   $a20240110d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aStatistics and Data Analysis for Engineers and Scientists /$fby Tanvir Mustafy, Md. Tauhid Ur Rahman
205   $a1st ed. 2024.
210  1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024.
215   $a1 online resource (190 pages)
225 1 $aTransactions on Computer Systems and Networks,$x2730-7492
311 08$a981-9946-63-8 
311 08$a981-9946-60-3 
320   $aIncludes bibliographical references.
327   $aGeneral Overview -- Introduction to MATLAB -- The Fundamentals of Microsoft Excel -- Introduction to SPSS.
330   $aThis textbook summarizes the different statistical, scientific, and financial data analysis methods for users ranging from a high school level to a professional level. It aims to combine the data analysis methods using three different programs?Microsoft Excel, SPSS, and MATLAB. The book combining the different data analysis tools is a unique approach. The book presents a variety of real-life problems in data analysis and machine learning, delivering the best solution. Analysis methods presented in this book include but are not limited to, performing various algebraic and trigonometric operations, regression modeling, and correlation, as well as plotting graphs and charts to represent the results. Fundamental concepts of applied statistics are also explained here, with illustrative examples. Thus, this book presents a pioneering solution to help a wide range of students, researchers, and professionals learn data processing, interpret different findings derived from the analyses,and apply them to their research or professional fields. The book also includes worked examples of practical problems. The primary focus behind designing these examples is understanding the concepts of data analysis and how it can solve problems. The chapters include practice exercises to assist users in enhancing their skills to execute statistical analysis calculations using software instead of relying on tables for probabilities and percentiles in the present world. .
410  0$aTransactions on Computer Systems and Networks,$x2730-7492
606   $aComputational intelligence
606   $aQuantitative research
606   $aMathematical statistics$xData processing
606   $aEngineering$xData processing
606   $aComputational Intelligence
606   $aData Analysis and Big Data
606   $aStatistics and Computing
606   $aData Engineering
615  0$aComputational intelligence.
615  0$aQuantitative research.
615  0$aMathematical statistics$xData processing.
615  0$aEngineering$xData processing.
615 14$aComputational Intelligence.
615 24$aData Analysis and Big Data.
615 24$aStatistics and Computing.
615 24$aData Engineering.
676   $a501.519282
700   $aMustafy$b Tanvir$01587094
702   $aRahman$b Tauhid Ur
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910800115603321
996   $aStatistics and Data Analysis for Engineers and Scientists$93874441
997   $aUNINA