The Record Business Specialist qualification is suitable for experts who fix business problems by doing record Analysis and predictive Model using SAS/STAT program.
SAS record program enables companies to know from, implement, and enhance particulars acquired from wide stores of particulars. The SAS Licensed Record Business Specialist Using SAS 9: Regression and Model qualification is made for SAS professionals which use SAS/STAT program to complete and understand complex record particulars analysis. The qualification is an expert in directly line and logistic regression techniques accustomed to make predictive styles. An intensive knowledge of essential analysis can also be important.
SAS Institution SAS Record Business Analysis SAS9: Regression and Model The suggested planning for that SAS Record Business Analysis Using SAS 9: Regression and Model evaluation derive from Analysis 1: Launch to ANOVA, Regression, and Logistic Regression and Predictive Model Using Logistic Regression programs. While no evaluation problems is going to be attracted exactly the same in the programs or course exercises, these programs will give you candidates having a platform by which to implement the abilities and particulars essential for the evaluation. Experience is a vital step to being a SAS Licensed Professional.
Statistics 1: Launch to ANOVA, Regression, and Logistic Regression
This beginning course is perfect for SAS application clients who execute record Analysis using SAS/STAT application. The concentrate is on t checks, ANOVA, and directly line regression, and it has a short help guide to logistic regression. This program (or comparative understanding) is really a precondition to most of the programs within the record analysis program. A far more innovative therapy of ANOVA and regression occur in case study 2: ANOVA and Regression course. A far more innovative therapy of logistic regression occur in the particular Information Analysis Using Logistic Regression course and also the Predictive Modeling Using Logistic Regression course.
Learn to generate illustrative statistics and uncover data with charts, perform analysis of difference and implement several evaluation techniques, perform directly line regression and assess the presumptions, use regression model choice techniques to assist in the option of forecaster factors in a number of regression, use analytic statistics to judge record presumptions and recognize potential outliers in a number of regression, use chi-square statistics to acknowledge organizations among categorical factors and fit a several logistic regression model.
Predictive Modeling Using Logistic Regression
This program safeguards predictive modeling using SAS/STAT application with focus on the LOGISTIC process. This program also discusses selecting factors, evaluating styles, coping with losing concepts and taking advantage of performance techniques for big data places.
Learn to use logistic regression to model an person’s actions like a operate of known information, create impact plots and options rate plots using ODS Record Model, handle losing data concepts, tackle multi co linearity inside your predictors and assess model performance and evaluate styles.
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