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Basic SAS Programming
Rating: 4.2 out of 5(44 ratings)
1,910 students

Basic SAS Programming

A guide to basic programming in SAS and data base concepts
Created bySteven Martin
Last updated 3/2019
English

What you'll learn

  • Basic programming in SAS and understanding of SAS Environment

Course content

1 section • 16 lectures • 39m total length

  • Trainer Introduction2:05
  • Data base Jargons Part I4:54
  • Data base Jargons Part II4:40
  • Setting the Course Expectations1:13
  • What is SAS and Why Organizations are using SAS1:31
  • SAS On demand - Registration process1:48

    Register for SAS on demand by creating a user profile on the fast website, obtain a username and password, and use the administration page to access the cloud-based service.

  • Know how of SAS environment and software2:52
  • Creating a mini table with Numeric attribute3:05
  • Creating a table with character variable1:36
  • Creating a table with multiple observations2:08
  • Concept of Libraries2:49
  • Importing data in SAS2:36
  • Data Wrangling - Creating a new variable2:20

    Create a new variable by summing subject marks to obtain total marks, then compute average marks by dividing by five, using set index to copy the table.

  • Splitting the Table with if and where clause1:27

    Split the data into male and female groups with if or where clauses, and create separate tables with gender flags set to 0 or 1.

  • Concatenation of two or more tables1:10
  • If else condition in SAS to create a new variable3:07

Requirements

  • No. But its good if participants can take up an "Alteryx data processing, data manipulation and Analytics" course by Steven Martin. This is recommended to understand fundamentals of data processing

Description

In this quick and concise program you will understand the basic concepts of database and SAS aesthetics and basic programming. We will be explaining concept of how to create dataset, libraries and variables. Also we will be discussing how to create new variables with conditional "if else" statements. Data manipulation and data wrangling will be discussed briefly.

Who this course is for:

  • Aspirants of exhibiting in data science or business intelligence or bachelors in technology students

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