商品描述
Do 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.
Who This Book Is For A general audience of people who are new to data science, students, and data analysts and scientists who are new to SAS. No prior programming or statistical knowledge is required.
商品描述(中文翻譯)
您想在不寫一行程式碼的情況下創建數據分析報告嗎？本書介紹了SAS Studio，這是一個免費的基於網頁的數據科學產品，供教育和非商業用途使用。SAS Studio的強大之處在於其視覺化的點擊式用戶界面，能夠生成SAS程式碼。學習SAS Studio比學習R和Python來完成數據清理、統計和可視化任務要容易得多。
本書包括一個案例研究，分析了預測2016年和2020年美國緬因州總統選舉結果所需的數據。除了總統選舉外，本書還提供了現實生活中的例子，包括對股票、石油和黃金價格、犯罪、行銷和醫療保健的分析。您將看到數據科學的實際應用，以及如何使用SAS Studio輕鬆執行複雜的任務和可視化。
您將逐步學習如何進行可視化，包括創建地圖。在大多數情況下，您在使用SAS Studio圖形用戶界面時不需要寫一行程式碼。本書包括SAS Studio自動生成的程式碼解釋。您將學習如何編輯這些程式碼以執行更複雜的高級任務。
您將學到什麼
- 熟悉SAS Studio IDE。
- 如何創建基本的可視化。
- 了解大多數數據科學和分析報告所需的基本統計分析。
- 清理最常見的數據集問題。
- 學習線性和邏輯回歸以進行數據預測和分析。
- 在SAS中編寫程式。
- 如何分析數據並從中獲取洞見以進行決策。
- 學習字符、數字、日期、時間和日期時間函數及類型轉換。
本書適合誰
本書適合對數據科學感興趣的一般讀者、新手學生以及對SAS不熟悉的數據分析師和科學家。無需具備先前的程式設計或統計知識。
作者簡介
Engy Fouda is an Adjunct Lecturer at SUNY New Paltz University, teaching Intro to Data Science Using SAS Studio and Introduction to Machine Learning using Python. She is an author for Apress and Packt Publishing, having published nine books, and this book is her tenth. Many of them are best sellers. Currently, she teaches SAS Fundamentals, SAS Programming Intermediate (Test-Prep for the SAS Associate and SAS Specialist Certificates), SAS SQL, Docker Fundamentals, Docker for Enterprise Developers, Kubernetes Introduction, Kubernetes Intermediate, and Docker Certified Associate (DCA) Test Prep at ONLC (Microsoft Partner), Plurasight Inc., and other venues as a freelance instructor. She holds two master's degrees. The most recent one is in journalism from Harvard University, Extension School, and a computer engineering degree from Cairo University. Moreover, she earned a Data Science Graduate Professional Certificate from Harvard University.
作者簡介(中文翻譯)
Engy Fouda 是紐約州立大學新帕爾茨分校的兼任講師，教授使用 SAS Studio 的資料科學入門課程以及使用 Python 的機器學習入門課程。她是 Apress 和 Packt Publishing 的作者，已出版九本書籍，而這本書是她的第十本。其中許多書籍都是暢銷書。目前，她在 ONLC（微軟合作夥伴）、Plurasight Inc. 及其他場所擔任自由講師，教授 SAS 基礎、SAS 程式設計中級（SAS 助理和 SAS 專家證書的考試準備）、SAS SQL、Docker 基礎、企業開發者的 Docker、Kubernetes 入門、Kubernetes 中級以及 Docker 認證助理（DCA）考試準備。她擁有兩個碩士學位。最近的學位是來自哈佛大學延伸學院的新聞學碩士學位，以及開羅大學的計算機工程學位。此外，她還獲得了哈佛大學的資料科學研究生專業證書。
