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SAS for Data Science
Rating: 4.0 out of 5(34 ratings)
161 students

SAS for Data Science

Data Science, Sas Macros, Sas SQL, Sas Programming
Created byNishant Pandey
Last updated 3/2019
English

What you'll learn

  • After taking this course students will be able to write programs using SAS as a tool, this course will be a guide for them to take them to the next level of expertise pertaining SAS.
  • This is going to give a great Curve to beginners/professionals to use SAS as a tool for their data work.

Course content

10 sections38 lectures7h 43m total length
  • SAS for Data Science (Introduction)10:49
  • SAS_Installation13:14

Requirements

  • Pre-requisite: This course is designed for beginners who want to learn SAS programming, This tutorial has all the best practices programs available with SAS and hence you need to have a logical thinking approach a basic understanding of how Coding and Debugging happens, an absolute beginner would do as well.
  • In order to run and practice all the programs taught here you need to have the SAS University Edition installed on your PC/Laptop, I have shared the Installation guide as well that can help you to install the SAS University Edition.

Description

This Course is designed for the Beginners/Professional who want to learn to work on SAS as a tool for their data handling work, This course is going to give you a very easy step by step learning edge on how to run and use SAS as a tool for data work, It is a very easy to understand tutorial which will help you to go to the next level of expertise whilst working on SAS tool.

Who this course is for:

  • This course would be a best fit for the Beginners/Professionals who want to learn how SAS programs work, this course would be a great approach to start working on SAS and then later on get to the advanced methods.
  • I have used very simple examples and written very easy to understand programs for this course, anyone with low understanding on programming languages can also be able to understand the concepts behind programs written.