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SAS Institute Of Management Studies - Doing More with SAS Programming 

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Doing More with SAS Programming
 at 
Coursera 
Overview

Duration

24 hours

Start from

Start Now

Total fee

Free

Mode of learning

Online

Difficulty level

Intermediate

Official Website

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Credential

Certificate

Doing More with SAS Programming
 at 
Coursera 
Highlights

  • Shareable Certificate Earn a Certificate upon completion
  • 100% online Start instantly and learn at your own schedule.
  • Flexible deadlines Reset deadlines in accordance to your schedule.
  • Intermediate Level
  • Approx. 24 hours to complete
  • English Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, Spanish
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Doing More with SAS Programming
 at 
Coursera 
Course details

Skills you will learn
More about this course
  • This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users.
  • In this course you learn how to understand and control DATA step processing, create an accumulating column and process data in groups, manipulate data with functions, convert column type, create custom formats, concatenate and merge tables, process repetitive code, and restructure tables. This course addresses Base SAS software.
  • Before attending this course, you should be able to write DATA step code to access data, subset rows and columns, compute new columns, and process data conditionally. You should also be able to sort tables using the SORT procedure and
  • apply SAS formats.
Read more

Doing More with SAS Programming
 at 
Coursera 
Curriculum

Course Overview and Data Setup

Welcome to the Course!

Practicing in This Course

Learner Prerequisites

Using Forums and Getting Help

Access SAS Software and Set Up Practice Files (REQUIRED)

Overview

DATA Step Review

DATA Step Processing

DATA Step Processing: Compilation

DATA Step Processing: Execution

Demo: DATA Step Processing in Action

Viewing Execution in the Log

Controlling DATA Step Processing

Implicit and Explicit Output

Sending Output to Multiple Tables

Demo: Directing Row Output

Controlling Column Output

Demo: Directing Column Output

Columns in the PDV

Syntax Review

Activity 1.01

Activity 1.02

Practice: Using PUTLOG Statements to Examine Execution Steps

Activity 1.03

Activity 1.04

Question 1.05

Level 1 Practice: Conditionally Creating Multiple Output Tables

Level 2 Practice: Conditionally Creating Columns and Output Tables

Controlling DATA Step Processing

Summarizing Data

Overview

Demo: Creating an Accumulating Column

Retaining Values in the PDV

Using the Sum Statement

Answering Questions about Groups

Processing Sorted Data in Groups

Demo: Identifying the First and Last Row in Each Group

Subsetting Rows in the Execution Phase

Demo: Creating an Accumulating Column within Groups

Using Multiple BY Columns

Syntax Review

Activity 2.01

Question 2.02

Level 1 Practice: Producing a Running Total

Level 2 Practice: Producing Multiple Totals

Activity 2.03

Activity 2.04

Activity 2.05

Question 2.06

Level 1 Practice: Generating an Accumulating Column within Groups

Level 2 Practice: Generating an Accumulating Column within Multiple Groups

Summarizing Data

Manipulating Data with Functions

Overview

Review of Functions

Specifying Columns Lists

Using a CALL Routine to Modify Data

Using Numeric Functions

Demo: Using Numeric Functions

SAS Date, Datetime, and Time Values

Extracting Data from a Datetime Value

Calculating Date Intervals

Shifting Date Values

Demo: Shifting Date Values Based on an Interval

Useful Character Functions

Extracting Words from a String

Demo: Using Character Functions to Extract Words from a String

Searching for Character Strings

Replacing Character Strings

Handling Column Type

Converting Column Type

Converting Character Values to Numeric Values

Using a Generic Informat to Read Dates

Converting the Type of an Existing Column

Converting Numeric Values to Character Values

Demo: Using the INPUT Function to Convert Column Types

Demo: Using the PUT Function to Convert Column Types

Using Numeric Functions to Change Precision

Removing Characters from a String

Identifying Character Positions

Building Character Strings

Syntax Review

Activity 3.01

Activity 3.02

Activity 3.03

Activity 3.04

Question 3.05

Level 1 Practice: Using the LARGEST and ROUND Functions

Level 2 Practice: Working with Date/Time Values

Activity 3.06

Activity 3.07

Activity 3.08

Activity 3.09

Level 1 Practice: Using the SCAN and PROPCASE Functions

Level 2 Practice: Searching for Character Strings

Activity 3.10

Activity 3.11

Question 3.12

Activity 3.13

Manipulating Data with Functions

Creating and Using Custom Formats

Overview

Formatting Data Values

Creating and Applying a Custom Format

Using Ranges

Demo: Creating and Using Custom Formats

Reading a Table of Values for a Format

Demo: Creating Custom Formats from Tables

Storing Custom Formats

Syntax Review

Activity 4.01

Activity 4.02

Activity 4.03

Level 1 Practice: Creating Custom Formats Based on Single Values

Level 2 Practice: Creating Custom Formats Based on a Range of Values

Activity 4.04

Activity 4.05

Level 1 Practice: Creating a Custom Format from a Table

Level 2 Practice: Using Conditional Processing to Create a Format from a Table

Creating and Using Custom Formats

Combining Tables

Overview

Concatenating Tables with Matching Columns

Demo: Concatenating Tables

Handling Column Attributes

What is a Merge?

Processing a One-to-One Merge

Processing a One-To-Many Merge

Demo: Merging Tables

Merging Tables with Nonmatching Rows

Identifying Matches and Nonmatches

Demo: Merging Tables with Nonmatching Rows

Merging Tables with Matching Column Names

Merging Tables without a Common Column

DATA Step Merge and PROC SQL Join

Syntax Review

Activity 5.01

Level 1 Practice: Concatenating Like-Structured Tables

Level 2 Practice: Concatenating Unlike-Structured Tables

Question 5.02

Activity 5.03

Question 5.04

Activity 5.05

Level 1 Practice: Performing a One-to-Many Merge

Level 2 Practice: Writing Matches and Nonmatches to Separate Tables

Combining Tables

Processing Repetitive Code

Overview

Processing Repetitive Code

Iterative DO Loops

Demo: Executing an Iterative DO Loop

Output Inside and Outside the DO Loop

Demo: Using Iterative DO Loops

Conditional DO Loops

Checking the Condition

Demo: Using Conditional DO Loops

Combining Iterative and Conditional DO Loops

Demo: Combining Iterative and Conditional DO Loops

Syntax Review

Activity 6.01

Level 1 Practice: Using Nested Iterative DO Loops (DATA Step with No SET Statement)

Level 2 Practice: Using an Iterative DO Loop (DATA Step with a SET Statement)

Activity 6.02

Level 1 Practice: Using a Conditional DO Loop

Level 2 Practice: Using an Iterative and Conditional DO Loop

Processing Repetitive Code

Restructuring Tables

Overview

Understanding Table Structure

Restructuring Data

Demo: Creating a Narrow Table with the DATA Step

Creating a Wide Table with the DATA Step

The Transpose Procedure

Transposing Values within Groups

Demo: Creating a Wide Table with PROC TRANSPOSE

Creating a Narrow Table with PROC TRANSPOSE

Changing Column Names

Syntax Review

Question 7.01

Activity 7.02

Level 1 Practice: Restructuring a Table Using the DATA Step: Wide to Narrow

Level 2 Practice: Restructuring a Table Using the DATA Step: Narrow to Wide

Activity 7.03

Activity 7.04

Level 1 Practice: Restructuring a Table Using PROC TRANSPOSE: Wide to Narrow

Level 2 Practice: Restructuring a Table Using PROC TRANSPOSE: Narrow to Wide

Restructuring Tables

Doing More with SAS Programming
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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