SAS Analytics

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

What will you learn in this course?

How to generate descriptive statistics and explore data with graphs
How to perform linear regression and assess the assumptions
How to use diagnostic statistics to identify potential outliers in multiple regression
How to fit a multiple logistic regression model
How to modify data for better analysis results
How to build and understand predictive models such as regression models
How to compare and explain complex models generate and use score code

Author

Hands-On System

Develop your Hands-On Skill

Handson™ is an online learning platform, offers live instructor-driven courses and self-paced training that provide beginners to experienced professionals who want to enhance their technology, management and other skills.

School

Hands-On System's School

Requirements

You should have a basic knowledge of computing
You should have a basic knowledge of statistics

Class Contents

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

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

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What's Included

Language: English

Level: All levels

Skills: Multiple Regression, Statistics, Statistical Techniques, Regression Models, Linear Regression, Logistic Regression, SAS

Duration: 4 hours 27 minutes

37 Videos

17 Documents

SAS Analytics

SAS Analytics

About the Class

Author

Hands-On System

School

Hands-On System's School

Requirements

Class Contents

What's Included

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