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SAS Analytics
Course Preview
SAS Analytics Curriculum
Preview
Meet The Instructor
Preview
Introduction to Business Analytics
Preview
Bussiness Analytics
Categories of Business Analytics
Preview
Installation of SAS
Installation of SAS
Importing CSV file in SAS
Importing CSV dataset in SAS
code file Importing CSV dataset in SAS
Linear Regression
Concept of Linear Regression
Assumptions of Classical Linear Regression Model
Concept of Multi collinearinty and Auto correlation
Linear Regression-Case Study & Practical session
Case study discussion and Dataset descriptions
code file Case study discussion and Dataset descriptions
Linear Regression Practical Session - Part - 1
code file Linear Regression Practical Session - Part - 1
code file Linear Regression Practical Session - Part - 2
Linear Regression Practical Session - Part - 2
Linear Regression Practical Session - Part - 3
code file Linear Regression Practical Session - Part - 3
Linear Regression Practical Session - Part - 4
code file Linear Regression Practical Session - Part - 4
Linear Regression Practical Session - Part - 5
code file Linear Regression Practical Session - Part - 5
Logistic Regression
Concept of Logistic Regression
Assumptions of Logistic Regression
ODDS AND ODDS Ratio
Concept of Concordant, Discordant and Tied Pairs
Setting the probability level
Detail description of Confusion Matrix
Logistic Regression- Case Study & Practical
Case Discussion and Data set Description of Logistic Regression
code file Case Discussion and Data set Description of Logistic Regression
Logistic Regression Practical part- 1
code file Logistic Regression Practical part- 1
Logistic Regression Practical part- 2
code file Logistic Regression Practical part- 2
Logistic Regression Practical part- 3
code file Logistic Regression Practical part- 3
Logistic Regression Practical part- 4
code file Logistic Regression Practical part- 4
Logistic Regression Practical part- 5
code file Logistic Regression Practical part- 5
Time Series Forecasting
Concept of time series
Components of Time Series
Smoothing Techniques
Stationarity and non-stationarity of Time Series Data
ARIMA Modelling
BOX JENKINS Technology
Time Series - Case Study & Practical Session
Case Study and Data set discussion of Time Series
code file Case Study and Data set discussion of Time Series
Time Series Practical Session Part- 1
Preview
code file Time Series Practical Session Part- 1
Time Series Practical Session Part- 2
code file Time Series Practical Session Part- 2
Time Series Practical Session Part- 3
code file Time Series Practical Session Part- 3
Linear Regression
SAS Analytics
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Hands-On System
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We'll cover the following topics in this section:
Concept of Linear Regression
Assumptions of Classical Linear Regression Model
Concept of Multi collinearinty and Auto correlation
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