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This quite hands-on course is designed to introduce you to the basics of using SAS programming for your analytics work.
Starting with the basics of how SAS works and how it processes data, this course will build up your knowledge of SAS programming to the point where you will be able to use SAS to solve real life data and statistical analysis problems.
There are 4 main sections in this course:
·Introduction to SAS and SAS Enterprise Guide : just to get you going
·Getting Started : Let´s cover the basics first to make sure you have a solid foundation
·SAS programming fundamentals: The Ins & Outs of how the SAS language works and how you can use it to carry out a multitude of tasks
·Using SAS for Statistics and Analytics: Some examples ranging from frequency analysis all the way to regression
This course is taught by a practitioner with many years of experience in SAS programming and analytics. The examples are derived from real world problems and during this course you will be exposed to many real life tips and advice on how to maximise the power of SAS
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Certificate of completion.
|Section 1: Introduction to SAS and SAS Enterprise Guide|
Introduction and course logisticsPreview
Introduction to SAS and to SAS Enterprise Guide
Your First SAS task
|Section 2: Getting Started|
Section 2 Intro
Your first Enterprise Guide session
Importing data into SAS 1
Importing data into SAS 2
Working with your data 1
Working with your data 2
Exporting your data 1
Exporting your data 2
|Section 3: SAS programming fundamentals|
Manipulating your data 1
Manipulating you data 2
Conditional processing 1
Conditional processing 2
Working with Functions 1
Working with Functions 2Preview
Iterative processing 1
Iterative processing 2
Introduction to SAS arrays 1
Introduction to SAS arrays 2
Introduction to PROC SQL 1
Introduction to PROC SQL 2
|Section 4: Using SAS for Statistics and Analytics|
Displaying your data 1
Displaying your data 2
Summarizing your data 1
Summarizing your data 2
Using basic Statistical procedures 1
Using basic Statistical procedures 2
Debugging part 1
Debugging part 2
I am a Data Scientist and Analytics professional, and I have been carrying out analytics projects within the retail and pharmaceutical industries for 12 years across Europe. I am a specialist in multiple Big Data technologies such as SAS, R , python and Matlab, using these on a daily basis for my work with clients (I work for a large consulting firm) . I hold an MSc in Applied Statistics and Stochastic Mathematics from the University of London, and prior to that I graduated in Engineering from University College London.