Learn Data Science Using SAS Studio - Engy Fouda

Learn Data Science Using SAS Studio (eBook)

A Quick-Start Guide

(Autor)

eBook Download: PDF
2020 | 1st ed.
XVII, 226 Seiten
Apress (Verlag)
978-1-4842-6237-5 (ISBN)
Systemvoraussetzungen
56,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen

Do 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.


What You Will Learn

  • 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


Who This Book Is For

A general audience of people who are new to data science, students, and data analysts and scientists who are experienced but new to SAS. No programming or in-depth statistics knowledge is needed.



Engy Fouda is an author, freelance engineer, and journalist. She also is a freelance instructor and teaches SAS, Docker Fundamentals, Docker for Enterprise Developers, Docker for Enterprise Operations, and Kubernetes. Engy holds two master's degrees, one in journalism from Harvard University, Extension School, and another in computer engineering from Cairo University, Egypt. She earned the Data Science Professional Graduate Certificate from Harvard University, Extension School. She volunteers as the Team Lead for Momken Group (Engineering for the Blind), Egypt Scholars Inc. The team designs and manufactures devices and develops Arabic applications for visually impaired people in the MENA region. Engy volunteers as a Member-at-Large and as newsletter editor of the IEEE Mid-Hudson section. And she published several books that made Amazon's best-selling charts for Arabic books. 

 


Erscheint lt. Verlag 1.10.2020
Zusatzinfo XVII, 226 p. 206 illus.
Sprache englisch
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
Schlagworte Data Analysis • data analytics • Data Science • Programming SAS • SAS • SAS Studio • SAS Visual Analytics • SAS visual statistics • SAS Viya • Visualization
ISBN-10 1-4842-6237-9 / 1484262379
ISBN-13 978-1-4842-6237-5 / 9781484262375
Haben Sie eine Frage zum Produkt?
PDFPDF (Wasserzeichen)
Größe: 10,5 MB

DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasser­zeichen und ist damit für Sie persona­lisiert. Bei einer missbräuch­lichen Weiter­gabe des eBooks an Dritte ist eine Rück­ver­folgung an die Quelle möglich.

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
der Grundkurs für Ausbildung und Praxis

von Ralf Adams

eBook Download (2023)
Carl Hanser Verlag GmbH & Co. KG
29,99
Das umfassende Handbuch

von Wolfram Langer

eBook Download (2023)
Rheinwerk Computing (Verlag)
37,43
Das umfassende Handbuch

von Jürgen Sieben

eBook Download (2023)
Rheinwerk Computing (Verlag)
67,43