Introduction to SAS
4.0 (23 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,297 students enrolled

Introduction to SAS

Introduction about SAS and its interface
New
4.0 (23 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
4,297 students enrolled
Last updated 2/2019
English
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Current price: Free Original price: $19.99 Discount: 100% off
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This course includes
  • 1.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • this training you shall be able to Create SAS data sets and run SAS programs effectively.
Course content
Expand all 12 lectures 01:32:12
+ Till PDV and Before Execution
4 lectures 30:08
SAS Data Sets
06:54
Compilation
07:48
Execution Fields
07:16
+ Missing Values
2 lectures 15:23
Observations
07:20
Variables and Missing Values
08:03
+ Till Proc Delete
2 lectures 14:10
Variable Attributes
07:18
SAS Programs
06:52
+ Proc Import
2 lectures 18:00
Data Steps and Proc Step in SAS Program
08:47
Importing Data Sets to SAS
09:13
Requirements
  • Basic computer working knowledge
  • Idea of creating data sheets with help of Excel software and workings of the same.
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 analyse it to aid in the process of intelligent decision making. SAS has has been widely accepted in the world and it accounts for almost 70% of the data processing market place.

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

The training will include the following:

Introduction about SAS and its interface

Libraries

Introducing SAS datasets

Execution of programs : PDV

Variables in SAS : Formats and Informats

Importing data to SAS.

Who this course is for:
  • Statistical Business Analysts
  • Data analysts
  • Risk analysts
  • Market researchers
  • Statisticians
  • Anyone who wants to learn statistical analysis