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Instructors
Ermin  Dedic, Instructor - SAS Index & SAS Macros: Solutions for Big Data

Ermin Dedic

Has a B.A from the University of Ottawa. Pursuing a M.Ed in psychology from the University of Calgary. Developed SAS Base Programming expertise through academic career and partly self-study.
Ermin Dedic, Instructor - SAS Index & SAS Macros: Solutions for Big Data

Ermin Dedic

Has a B.A from the University of Ottawa. Pursuing a M.Ed in psychology from the University of Calgary. Developed SAS Base Programming expertise through academic career and partly self-study.

SAS Indexes and Macros are vital when working with big data.

  • Improve speed/performance when sub-setting data.
  • Learn how to debug problems when they occur.
  • Instructor has a B.A from the University of Ottawa. Pursuing a M.Ed in Psychology from the University of Calgary.

Duration: 1h 45m

Course Description

A SAS Index is vital if you are working with big data. Big data refers to the volume, variety, and velocity of data-sets that we see in the world today. SAS has certain ways to deal with big data but the concepts involved (A Sas Index and SAS Macros) are more advanced topics in SAS programming. Make sure to learn SAS Base first as this will allow you to understand all the options in front of you. A SAS Base course instructed by me is available on Experfy. Having these advanced SAS skills, in particular knowing how to work with a sas index and sas macros, will give you an advantage in the work force, as the number of people that have these skills is small. The goal of the course is to give you practical examples. I will show you how to create different types of sas indexes, how to properly utilize and maintain a sas index, and also show you 3 different macro programs, including a bigger case study. Sign up today for my course 'SAS Index & SAS Macros: Solutions for Big Data'.

What am I going to get from this course?

Improve speed/performance when sub-setting data
Update your indexed master data set with the latest transactions
Create Macros to reduce repetitive coding, which saves time and money.
Apply macro functions to manipulate character strings
Debug problems when they occur

Prerequisites and Target Audience

What will students need to know or do before starting this course?

Software options and instructions are available in Module 1.

Who should take this course? Who should not?

A background in Base SAS is highly recommended. 
Some knowledge of SAS SQL is also suggested.

Curriculum

Module 1: Module 1

Lecture 1 Objectives

I go over what the objectives of the course are.

Lecture 2 Installing Software

There is a resource attached that will go over how you can install software so you can follow along with the video course.

Resource 1 Datasets Used in the Course

Google drive link that gives you access to the data sets used in the course.

Module 2: Introduction to Indexes

Lecture 3 Intro to Indexes

I introduce Indexes.

Lecture 4 Is An Index Right For You?

I go over whether an index makes sense in your context.

Lecture 5 Types of Indexes

I go over the two types of Indexes that you can create.

Lecture 6 Index Options

There are some options that you can use when creating an index. The option may make sense or not depending on the scenario.

Lecture 7 Testing Using A Large Dataset

We will do an activity together where we can see the real utility of an Index.

Lecture 8 How To Select Variable(s)

I go over how to select a variable or variables for your index.

Lecture 9 PROC Datasets

Proc datasets can be used to create a simple or composite index on an already existing SAS data set.

Lecture 10 BY statement

I explain how you must use the by statement if you want to exploit/utilize the index/indices you have created.

Resource 2 Using Proc SQL to Create Indices (used on existing data sets)

Code so you can create an index using proc sql.

Resource 3
Resource 4 How to Delete Indexes

I provide the source code so you can delete any created indices.

Lecture 11 Handling Common Tasks

I answer how to handle common tasks like renaming data-sets or variables when you have an indexed data set.

Lecture 12 Updating A Master Data Set

Sometimes, rather than just combining data from two data sets, you might want to update the data in one data set with data that is stored in another data set.

Module 3: Macro Programming

Resource 5 Intro to the Macro Facility

In this article, I briefly introduce the macro facility. Please download the resource.

Lecture 13 Types of Macro Variables

There are two different types of macro variables..do they know what they are?

Lecture 14 Keeping Track of Your Macro Variables

It is not easy to keep track of your macro variables when you have so many. But there is a way to keep track.

Lecture 15 Assignment Rules for Macro Variables

I go over the rules for what you can and can't assign to a macro variable.

Lecture 16 Masking Special Characters

Sometimes you want to include special characters as part of your macro variable value..in these cases you have to understand how to mask these special characters.

Lecture 17 Macro Functions 1

I go over some macro functions.

Lecture 18 Macro Functions 2

I cover a couple more macro functions.

Lecture 19 An Intro To Macro Programs

An introduction to macro programs, otherwise known as macros.

Lecture 20 Macro Program 1 - Different Sales Reports Depending On Criteria

I show you the first macro program that is able to create a different sale report depending on criteria.

Lecture 21 Macro Program 2 - Easily and Quickly Calculating Sales for Multiple Years

I show you how you can easily and quickly calculate your sales for multiple years by using a macro program.

Lecture 22 Options for Debugging

I go over debugging options.

Lecture 23 Storing Macros Externally

I show you how you can store your macros. In this example, externally storing your macros.

Module 4: Macro Program Case Study

Lecture 24 Brainstorming

Making a sophisticated, useful, and flexible macro program is not easy. Brainstorming is a vital component!

Lecture 25 Case Study 1 - Logistic Macro

Part 1 of Case study.

Lecture 26 Case Study 2 - Logistic Macro

Part 2 of the logistic macro.

Resource 6 Case Study Assignment

Answer the questions listed in the resource.

Resource 7 Case Study Answers

The answers to the case study questions.