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Comprehensive SAS Predictive Modeling : Learn Hands-On

Comprehensive SAS Predictive Modeling : Learn Hands-On


This course covers a range of introductory statistical topics and uses SAS software to carry out analysis. Emphasis placed on the interpretation of the results.

Overview

Description
This course covers a range of introductory statistical topics and uses SAS software to carry out analysis. Emphasis placed on the interpretation of the results. It covers the skills required to assemble analysis flow diagrams using the rich tool set and predictive modeling. Ready-to-use procedures handle a wide range of statistical techniques.

Learn how to

generate descriptive statistics and explore data with graphs
perform linear regression and assess the assumptions
use diagnostic statistics to identify potential outliers in multiple regression
fit a multiple logistic regression model
modify data for better analysis results
build and understand predictive models such as regression models
compare and explain complex models generate and use score code
learn how to predict for future through time series analysis
learn classification techniques using cluster analysis
learn dimension reduction using factor analysis
Basic knowledge
Basic knowledge of computer is sufficient for this course

Course Information

Basic knowledge of computer is sufficient for this course

What will you learn
Mean Median Mode
Measures of variance
probability
Binomial Distribution
Poisson Distribution
normal distribution
Sampling distribution
Hypothesis Testing
One Sample T-Test
Two Sample T-Test
chi-square test
ANOVA
Multiple Regression
Logistic Regression
Time Series
ARIMA Modeling
Cluster Analysis
Factor Analysis

Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields.
People who wish to enter data science/analytics field.

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Course Specifications

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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