How to install and use SAS University Edition.Once the basic statistical concepts are covered, the book then demonstrates how to use them with SAS Studio and SAS University Edition's easy point-and-click interface. Serving as an introduction to many common statistical tests and principles, it explains concepts in a non-technical way with little math and very few formulas. Whether you need to perform statistical analysis for a project or, perhaps, for a course in education, psychology, sociology, economics, or any other field that requires basic statistical skills, this book teaches the fundamentals of statistics, from designing your experiment through calculating logistic regressions. Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS Studio is here to help. Undertake consulting projects with significant data analysis component.Point and click your way to performing statistics!.Analyse and solve problems from different industries such as manufacturing, service, retail, software, banking and FINANCE, sports, pharmaceutical, aerospace etc.Use analytics in customer requirement analysis, general management, marketing, FINANCE operations and supply chain management.Manage business processes using analytical and management tools.Use advanced analytical tools to analyse complex problems under uncertainty.Use decision-making tools/Operations Research techniques.Analyse data using statistical and data mining techniques and understand relationships between the underlying business processes of an organization.Understand the role of business analytics within an organization.Over 10 lectures and 1.5 hours of content!.Any other data manipulation tool with little exposure to Analytics or Reporting.
Validating reports using Proc Freq, Means and Tabulate procedure
You will be required to perform the validation of these RTF reports by writing independent code in SAS®. You will be provided with the Rich Text Format (RTF) reports to be validated and the analysis datasets from which the RTF reports were created.
In this assignment you will perform the role of an independent validator. Producing reports using Proc Freq, Means and Tabulate procedureĪs in case of analysis datasets, in case of reports, independent validation is performed to ensure accuracy of the report output.You will be required to generate the reports in Rich Text Format (RTF) by writing independent code in SAS®. You will be provided with the analysis datasets, specifications and mock shells. In this assignment, you will perform the role of the developer of a report. ♺ppending, concatenating and merging datasetsīroadly Report Generationis a process whose purpose it is to take data from a source such as a database, XML stream or a spreadsheet and use it to produce a document in a format which satisfies a particular human readership.įor interpretation of data and making statistical and clinical inferences, summary reports and listings need to be created from the analysis datasets. Validating with Procedures(Proc print, Proc Freq, Proc means and Univariate).Introduction to validation and cleaning techniques.You will be required to perform the validation of these analysis datasets by writing independent code in SAS®. You will be provided with the analysis datasets to be validated and the raw datasets from which the analysis datasets were created. In this assignment, you will perform the role of an independent validator for analysis datasets. Owing to the criticality of data, the accuracy of analysis datasets is validated by independent validators who write independent code and compare their results with the analysis datasets.
Validating data helps to identify suspicious and invalid cases, variables, and data values in the active data set. ♺ccessing data from CSV file(Delimited files) You will be required to create analysis datasets by writing code in SAS® based on the specifications provided to you.) You will be provided with the raw datasets based on which the analysis datasets will need to be created. In this assignment you will perform the role of a developer of analysis datasets. (Creation of analysis datasets from raw datasets is the first step in analytics. SAS programs have a DATA step, which retrieves and manipulates data, usually creating a SAS data set, and a PROC step, which analyzes the data SAS provides a graphical point-and-click user interface for non-technical users and more advanced options through the SAS Programming Language. SAS is a software suite that can mine, alter, manage and retrieve data from a variety of sources and perform statistical analysis on it. Get in-depth knowledge of handling data and Business Analytic tools that can be used for fact-based decision-making