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200 10$aLearn Data Science Using SAS Studio $eFrom Clicks to Code /$fby Engy Fouda
205   $a2nd ed. 2025.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2025.
215   $a1 online resource (189 pages)
225 1 $aProfessional and Applied Computing Series
300   $aDescription based upon print version of record.
311 08$a979-88-6882-012-0 
327   $aPart I: Basics -- Chapter 1: Data Science in Action -- Chapter 2: Getting Started -- Chapter 3: Data Visualization -- Part II: More Programming -- Chapter 4: Statistical Analysis and Linear Models -- Chapter 5: Advanced Data Preprocessing -- Chapter 6: Preparing Data for Analysis -- Part III: Advanced Topics -- Chapter 7: Date, Time, Datetime - Chapter 8: Strings ? Chapter 9: Regression. -- Chapter 10: What Is Next? -- Appendix: Resources.
330   $aDo you want to create data analysis reports without writing a line of code? This book introduces SAS Studio, a free, web-based data science product for educational and non-commercial purposes. The power of SAS Studio lies in its visual, point-and-click user interface, which generates SAS code. It is easier to learn SAS Studio than to learn R and Python to accomplish data cleaning, statistics, and visualization tasks. The book includes a case study analyzing the data required to predict the results of presidential elections in the state of Maine for 2016 and 2020. In addition to the presidential elections, the book provides real-life examples, including analyses of stock, oil, and gold prices, crime, marketing, and healthcare. You will see data science in action and how easily it can be performed using complicated tasks and visualizations in SAS Studio. You will learn, step by step, how to perform visualizations, including creating maps. In most cases, you will not need a line of code as you work with the SAS Studio graphical user interface. The book includes explanations of the code that SAS Studio generates automatically. You will learn how to edit this code to perform more complicated advanced tasks. What You Will Learn Become familiar with the SAS Studio IDE. How to create essential visualizations. Know the fundamental statistical analysis required in most data science and analytics reports. Clean the most common dataset problems Learn linear and logistic regression for data prediction and analysis. Write programs in SAS. How to analyze data and get insights from it for decision-making. Learn character, numeric, date, time, and datetime functions and typecasting.
410  0$aProfessional and Applied Computing Series
606   $aApplication software
606   $aBig data
606   $aComputer networks
606   $aComputer and Information Systems Applications
606   $aBig Data
606   $aComputer Communication Networks
615  0$aApplication software.
615  0$aBig data.
615  0$aComputer networks.
615 14$aComputer and Information Systems Applications.
615 24$aBig Data.
615 24$aComputer Communication Networks.
676   $a005.13/3
700   $aFouda$b Engy$0859871
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9911049085403321
996   $aLearn data science using SAS Studio$91918801
997   $aUNINA