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SAS Statistics Course

SAS Statistics Course

SAS-STAT Training

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Corporate Bridge Consultancy Private Limited

English [CC]

category icon IT & Software,SAS,Data Science

Lectures -56

Duration -8 hours

4.3

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Course Description

SAS which stands for Statistical Analysis System is a software developed by the SAS Institute a private company based out of Cary, North Carolina, USA. Its primary objective is to be able to process large chunks of data and analyze them to aid in the process of intelligent decision-making. SAS has been widely accepted in the world and it accounts for almost 70% of the data processing marketplace. SAS/STAT® Training is an essential course, as it is a prerequisite for many courses in the statistical analysis domain.

Through this training, you shall be able to Create SAS data sets and run SAS programs effectively.

The training will include the following;

  • What is SAS
  • Why do we use SAS/STATS
  • PROC MEANS
  • PROC FREQ
  • PROC UNIVARIATE
  • WHAT IS HYPOTHESIS TESTTING
  • PROC TTEST
  • PROC ANOVA
  • PROC CORRELATION
  • PROC RANK
  • PROC GLM
  • What is Regression?
  • Types of Regression.
  • PROC REG.

Target Customers:

  • Statistical Business Analysts
  • Data analysts
  • Risk analysts
  • Market researchers
  • Statisticians
  • Anyone who wants to learn statistical analysis

Prerequisites

What are the prerequisites for this course?

  • Basic computer working knowledge
  • The idea of creating data sheets with help of Excel software and workings of the same.
SAS Statistics Course

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
1 Lectures
  • play icon Introduction STAT Training 10:58 10:58
Poc Univariate
2 Lectures
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Proc Means
3 Lectures
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Proc Frequency
2 Lectures
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TTEST
3 Lectures
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Proc Correlation
3 Lectures
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Proc Regression
2 Lectures
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Proc Multiple Regression
4 Lectures
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PROC Anova
6 Lectures
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Bivariate Analysis
3 Lectures
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Categorical Variables
2 Lectures
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Logistic
4 Lectures
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Non Parametric Tests
4 Lectures
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Power and Sample
5 Lectures
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Two Sample Test
3 Lectures
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Continous Variables
3 Lectures
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MISC
6 Lectures
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Instructor Details

Corporate Bridge Consultancy Private Limited

Corporate Bridge Consultancy Private Limited

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