LEADER 03526nam 2200505 450 001 9910427051803321 005 20210303124943.0 010 $a1-4842-6237-9 024 7 $a10.1007/978-1-4842-6237-5 035 $a(CKB)4100000011479502 035 $a(DE-He213)978-1-4842-6237-5 035 $a(MiAaPQ)EBC6362800 035 $a(CaSebORM)9781484262375 035 $a(PPN)252511646 035 $a(EXLCZ)994100000011479502 100 $a20210303d2020 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLearn data science using SAS Studio $ea quick-start guide /$fEngy Fouda 205 $a1st ed. 2020. 210 1$a[Place of publication not identified] :$cAPress,$d[2020] 210 4$dİ2020 215 $a1 online resource (XVII, 226 p. 206 illus.) 300 $aIncludes index. 311 $a1-4842-6236-0 327 $aPart 1: Basics -- Chapter 1: Data Science in Action -- Chapter 2: Getting Started -- Chapter 3: Data Visualization -- Part 2: More Programming -- Chapter 4: Statistical Analysis and Linear Models -- Chapter 5: Advanced Data Preprocessing -- Chapter 6: Preparing Data for Analysis -- Part 3: Advanced Topics -- Chapter 7: Regression -- Chapter 8: SAS Visual Statistics ? Viya -- Chapter 9: What Is Next? -- Appendix: Resources -- . 330 $aDo you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free data science web browser-based product for educational and non-commercial purposes. The power of SAS Studio comes from its visual point-and-click user interface that generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks. The book includes a case study about analyzing the data required for predicting the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples including analyzing stocks, oil and gold prices, crime, marketing, and healthcare. You will see data science in action and how easy it is to perform complicated tasks and visualizations in SAS Studio. You will learn, step-by-step, how to do visualizations, including maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. The book introduces you to multiple SAS products such as SAS Viya, SAS Analytics, and SAS Visual Statistics. You will: Become familiar with SAS Studio IDE Understand essential visualizations Know the fundamental statistical analysis required in most data science and analytics reports Clean the most common data set problems Use linear progression for data prediction Write programs in SAS Get introduced to SAS-Viya, which is more potent than SAS studio. 606 $aSAS (Computer program language) 606 $aBig data 606 $aData mining 615 0$aSAS (Computer program language) 615 0$aBig data. 615 0$aData mining. 676 $a519.502855369 700 $aFouda$b Engy$0859871 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910427051803321 996 $aLearn data science using SAS Studio$91918801 997 $aUNINA