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File Name: SAS Programming for Beginners : Validate Model Assumptions

Content Source: https://www.udemy.com/course/sas-programming-for-beginners-validate-model-assumptions/

Genre / Category: Programming

File Size : 616MB

Publisher: udemy



Requirements


No sas programming trip you will study everything

Enjoying data interpretations

Description


** New to SAS**


Do you prefer to analyze how to use SAS programming from the novices to validating laptop getting to know algorithms assumptions ?


Are you beginning your new SAS journey?


Are you searching to recognize how to properly interpret sas output?


If you are that man or woman , then you are about to sign up in the satisfactory direction to information you!


Your Instructor has greater than three years of SAS experience.


Why examine SAS?


SAS jobs !


Try to search for “SAS Jobs” online. Your search is certain to flip up many cutting-edge job listings that require a range of SAS expertise. Since, SAS emerges as a key lookup records evaluation tool, it is in demand in the market. Every business enterprise is searching for SAS resources.


SAS is enjoyable !


It is exciting studying SAS. It gives effortless way to get admission to more than one applications. It depends on user-written scripts or “programs” that are processed when requested to be aware of what to do. Because it is a script-based application, the key to being profitable the use of SAS is mastering the policies and hints of writing scripts. It works with giant facts and generate graphs and report.


Data Analysis


SAS is versatile and effective sufficient for information analysis. SAS is flexible, with a range of enter and output formats. It has severa approaches for descriptive, inferential, and forecasting kinds of statistical analyses. Because the SAS System is an built-in gadget with comparable structure shared through modules or products, as soon as you grasp one module, you can without problems switch the know-how to different modules.


By the give up of this path you will be capable to :


  • Use numbered vary listing to title SAS variables
  • Understand SAS libraries & how to get right of entry to information in SAS the usage of a library
  • Import unstructured facts into SAS
  • Use SAS operators
  • Use sas IF statements
  • IF – THEN/ELSE statements
  • IF-THEN/DO statements
  • Understand DO Loops
  • Use DO WHEN & DO UNTIL statements
  • Use missing() feature to deal with missing values
  • Use noduprecs & SORT manner to put off duplicates
  • Write a neat sas syntax and be in a position to interpret the sas output
  • How to realize Multicollinearity or Collinearity Diagnostics
  • Use Variance Inflation Factor (VIF) to discover multicollinearity
  • Use Condition Index (Condition numbers) to become aware of Multicollinearity
  • Perform and Interpret Shapiro Wiks Test Normality Test
  • Validate Linearity Assumption
  • Carry out Pearson Correlation Test and Interpret the outcomes the use of p – values
  • Carry out RESIDUAL DIAGNOSTICS check and Interpret the results
  • Detect Outliers & Influential Observations
  • Interpret DFFITS & DFBETAS plots


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Who this direction is for:


  • Beginner SAS programmers
  • SAS programmers who choose to research output interpretation
  • Everyone who is inclined to research how to code SAS