Get up and running with SAS using this easy-to-follow, step-by-step guide. Aimed at beginners, Getting Started with SAS Programming: Using SAS Studio in the Cloud uses short examples to teach SAS programming from the basics to more advanced topics in the point-and-click interactive environment of SAS Studio.
Written by an experienced SAS programmer, this book lets SAS coders easily find explanations and clarification to typical programming problems. Comprehensive and foundational coverage, systematic introduction of programming topics, thoroughly annotated code examples, and real-world code samples combine to make this book an indispensable reference for beginners and experienced programmers.
This course is the first in a series by the SAS Institute, designed to prepare you for the SAS 9.4 certification exam. Learn SAS programming essentials to handle the most common data-processing tasks with SAS code.
The ultimate beginner's guide to SPSS and statistical analysis, this book is the fun and friendly guide to mastering SPSS. It contains everything you need to know to get up and running quickly with this industry-leading software, with clear, helpful guidance on working with both the software and your data.
SPSS is enormously powerful ' and challenging to learn. This popular handbook lets you get hands-on with the statistical procedures you need. Full colour screen shots, step-by-step guidance and examples with annotated outputs help you learn. An essential and practical guide to using the latest version of IBM SPSS Statistics.
In this course, the instructor takes a practical, visual, and non-mathematical approach to SPSS Statistics, explaining how to use the popular program to analyze data in ways that are difficult or impossible in spreadsheets, but which don't require you to master programming languages like Python or R.
In this video, you will learn how to get started using SPSS for statistical data analysis, including installing SPSS, creating variables, entering data, importing data, producing descriptive statistics and interpreting them.
This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods, like linear (OLS) and binary logistic regressions and matching.
After reading this introductory text, new users will be able not only to use Stata well but also to learn new aspects of Stata. The author assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book.
Discover QSR International's NVivo for Windows and NVivo for Mac qualitative data analysis software. Learn more about NVivo software by watching tutorials, how-to videos, recorded eSeminars and eDemos.
This book is a good companion to get you quickly acquainted with everything you need to increase your productivity with the ArcGIS Desktop. It would be helpful to have a bit of familiarity with basic GIS concepts. If you have no previous experience with ArcGIS, this book will still be helpful for you because it will help you catch up to the acquainted users from a practical point of view.
This experience focuses on beginners and business users not familiar with GIS. Get started learning the foundational concepts of GIS including content management, data exploration, visualization, spatial analysis, and spatial data science.
This supremely organized reference packs hundreds of timesaving solutions, tips, and workarounds–all you need to make the most of Excel’s most powerful tools for analyzing data and making better decisions.
Learn how to enter and organize data, perform calculations with simple functions, and format the appearance of rows, columns, cells, and data. Other lessons cover how to work with multiple worksheets, build charts and PivotTables, sort and filter data, use the printing capabilities of Excel, and more.
While most of the questions you might have concerning the functionality of DPlot are answered in the Help file and the online Help manual, this page covers commonly recurring questions from email enquiries.
If you want to learn network analysis and visualization along with graph concepts from scratch, then this book is for you. This is ideal for those of you with little or no understanding of Gephi and this domain, but will also be beneficial for those interested in expanding their knowledge and experience.
About This Book Build sophisticated interactive network graphs using advanced Gephi layout features Master Gephi statistical and filtering techniques to easily navigate through even the densest network graphs An easy-to-follow guide introducing you to Gephi's advanced features, with step-by-step instructions and lots of examples Who This Book Is For This book is intended for anyone interested in advanced network analysis. If you wish to master the skills of analyzing and presenting network graphs effectively, then this is the book for you. No coding experience is required to use this book, although some familiarity with the Gephi user interface will be helpful.
Use this guide to learn more about Prism's features and how to most effectively use them. Two other guides focused on Statistical Analysis and Curve Fitting are also available and linked on the home page.
The book is styled on a Cookbook, containing recipes - combined with free datasets - which will turn readers into proficient OpenRefine users in the fastest possible way. No prior knowledge of OpenRefine is required, as we start from the very beginning and gradually reveal more advanced features.
This course covers the foundation of OpenRefine and its scripting language GREL. You will learn how to use the facet/filter; leverage OpenRefine point and click transformation and fuzzy matching function for quick but powerful data cleaning; write complex transformation in GREL, OpenRefine script language; call API and parse results in OpenRefine.