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The Simplest Guide™ to SAS Programming | Base SAS | Advanced SAS
The Simplest Guide™ to SAS Programming | Base SAS | Advanced SAS

The Simplest Guide™ to SAS Programming | Base SAS | Advanced SAS: Learn SAS programming for data analysis, data science, and data visualization | SAS Certification

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Profile Icon Aslam Khan
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€18.99 per month
Video Mar 2023 11hrs 43mins 1st Edition
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€89.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Aslam Khan
Arrow right icon
€18.99 per month
Video Mar 2023 11hrs 43mins 1st Edition
Video
€89.99
Subscription
Free Trial
Renews at €18.99p/m
Video
€89.99
Subscription
Free Trial
Renews at €18.99p/m

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Key benefits

  • A guide to the two SAS certification exams: SAS Base and SAS Advanced
  • This course uses the SAS OnDemand for Academics Edition that is free to be used on a PC or Mac
  • Quiz and practice tests after each section are included

Description

This course is for absolute beginners as well as advanced users who wish to learn SAS programming. Delivered in a highly visual style, these immersive lectures will equip you with cutting-edge tools used in many industries, primarily in pharma, finance, and insurance areas. Simplified into just four main areas, this course is an accelerated path to learning SAS programming. Data preparation will teach you how to import data from multiple sources, create new variables, write SAS functions, and understand what goes on behind the scenes in SAS datasets. Data structuring will make you leap into transforming data to a new level by merging and joining multiple datasets together, or turning them upside-down (sorting) and sideways (transposing). Data visualization will propel you further into the world of analytics and obtain insightful inferences from what is inside your data. The final section will take you into the world of macro programming that teaches you how to write your code professionally and elegantly. At the end of the course, you will try out most concepts discussed in this course through a coding exercise that will take you through these sections in preparation for your own SAS certification. The code files and all related files are uploaded on GitHub at https://github.com/PacktPublishing/The-Simplest-Guide-to-SAS-Programming-Base-SAS-Advanced-SAS-

Who is this book for?

This course is designed for individuals looking to quickly acquire data manipulation and data analytics skills in order to get placed in job roles that involve a lot of data processing, or as part of data science university coursework, or to pass the Base SAS or Advanced SAS certification. No prior experience is required. This course uses SAS OnDemand for Academics Edition as the software tool to work with data.

What you will learn

  • Perform data analysis with the powerful SAS programming language
  • Import any type of data into SAS and construct meaningful reports
  • Analyze data with SAS that reveal amazing insights within your data
  • Create beautiful visualizations and reports for a better understanding
  • Strengthen your foundation for SAS base and advanced certification exams
  • Apply all topics learned and finish the ‘Project Heavyweight' exercise

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Mar 31, 2023
Publication date : Feb 26, 2021
Length: 11hrs 43mins
Edition : 1st
Language : English
ISBN-13 : 9781801077293
Category :
Concepts :
Tools :

What do you get with a Packt Subscription?

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Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
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Product Details

Last updated date : Mar 31, 2023
Publication date : Feb 26, 2021
Length: 11hrs 43mins
Edition : 1st
Language : English
ISBN-13 : 9781801077293
Category :
Concepts :
Tools :

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Table of Contents

7 Chapters
Why Learn SAS Chevron down icon Chevron up icon
Getting Started with SAS Programming Chevron down icon Chevron up icon
Preparing Data Chevron down icon Chevron up icon
Section Overview
SAS Dataset, Variables, and Observations
SAS Libraries
Library Naming Conventions
Dataset Naming Conventions
SAS Program Syntax
SAS Data Step and Proc Step
Referencing Data in SAS
Bringing Data into SAS
Bringing Data into SAS Using the Import Wizard
Bringing Data into SAS Using the LIBNAME Statement
Bringing Data into SAS Using the FILENAME Statement
Bringing Data into SAS Using the DELIMITER Option
Bringing Data into SAS Using the DSD Option
Bringing Data into SAS Using Column Input
Bringing Data into SAS Using Column Pointer @ Symbol
Bringing Data into SAS Using the Line Pointer # Symbol
Bringing Data into SAS Using Line Pointer Slash Symbol
Bringing Data into SAS Using the Trailing @ Symbol
Bringing Data into SAS Using the Trailing Double @ Symbol
Bringing Data into SAS Using Proc Import for XLS (MS Excel) Files
Bringing Data into SAS Using Proc Import for TXT Files
Creating New Variables
Creating New Variables - Code
Keeping, Dropping, and Renaming Variables in a Dataset
If-else Conditional Statements - Deriving BMI Variable
If-else Conditional Statements - Deriving STATUS Variable
Filtering Data
SAS Dates
SAS Functions - Upcase
SAS Functions - Lowcase, Propcase, Len, Cat
SAS Functions - Substr
SAS Functions - Trim, Left, Strip, Compress, Compbl
SAS Character Functions - Scan Function
SAS Character Functions - Index Function
SAS Numeric Functions - Sum Function
Null Dataset
SAS Numeric Functions - Abs Function
SAS Numeric Functions - Ceiling, Floor, and Integer Functions
SAS Numeric Functions - Minimum and Maximum Functions
SAS Formats - Introduction
Format Statement
Format Naming Conventions
Format Using the PUT Function
SAS Informats
SAS Informats - Code
Custom Formats Using Proc Format
Custom Formats Using Proc Format - Code
Program Data Vector (PDV)
Implicit Output- Descriptor Portion
Implicit Output - var and Data Portion
Explicit Output
Explicit Output - Code
Do Loops
Guided Exercise – 'Project Cars' - Introduction
Section Conclusion
Structuring Data Chevron down icon Chevron up icon
Visualizing Data Chevron down icon Chevron up icon
Optimizing Code Chevron down icon Chevron up icon
Practice Exercise | Case Study Chevron down icon Chevron up icon
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