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SAS in Practice [Video]

More Information
Learn
  • Understand the importance of SAS and its usage and install the Base SAS University edition
  • Understand and use the fundamentals of the SAS programming language
  • Access different types of data (excel, SAS or text), explore it, then prepare it in a clean and analytical format
  • Manage and manipulate datasets by working on SAS data libraries, sorting, applying conditional logic, assigning, modifying and aggregating variables, and validating and cleaning data
  • Analyze and prepare reports on data using different procedures and export results to common formats such as PDF and Excel
  • Understand PROC SQL, its syntax, and the power of macros to create modular programs
  • Identify and resolve programming logic errors and examine and resolve data errors, thus enabling error handling in SAS
About

Are you a beginner who’s looking to become a Data Analyst or Data Scientist? If so, there are various tools and techniques to implement Data Analytics, but it’s recommended that you learn SAS as your first language because it’s easy to learn and has a user-friendly GUI. It holds the highest market share of all the Analytics tools available. If you have little or no programming background and want to get started with SAS, then this is the right course for you!

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/-SAS-in-Practice

This course will help you to become a good Data Analyst and a SAS programmer by giving you the hands-on knowledge and in-depth understanding of the SAS programming language and the SAS tool. It will help you master different techniques in SAS to manipulate your data. You’ll learn how to work with SQL queries and generate reports from your data. More importantly, this course will provide all the content you’re looking for to prepare for the SAS Base certification exam.

By the end of this course, you’ll have a thorough understanding of the SAS concepts along with good hands-on experience of the SAS tool.

All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/SAS-in-Practice

Style and Approach

This course takes a pretty simple and straightforward approach. You’ll be given an introduction in every section with details on the theoretical concepts and syntaxes. After that, we’ll demonstrate each theory concept practically in the SAS tool with examples to give you a complete hands-on experience. Each section is followed by a quiz, which will help you cement the concepts you’ve learned.

Features
  • Understand the SAS technical and analytical concepts with ease and go from scratch to an expert level using the SAS tool
  • Learn the basics of SAS to perform tasks ranging from data exploration to data manipulation and report generation
  • Go further and learn advanced concepts such as macro programming and running SQL queries in SAS
Course Length 4 hours 18 minutes
ISBN 9781838824921
Date Of Publication 29 Apr 2019

Authors

Ekta Saraogi

Ekta Saraogi has been a computer engineer by profession for the past 12 years. She started her career as Java developer and delivered the e2e SSO web portal for ARC, based out of USA. Her next venture was leading on a Java implementation and delivery for payment gateway solutions for AMEX UK. Following that, she leads an e2e solution design for BT TV for UK’s British Telecom Plc; During every role she has carried out and every stint she had, one thing that always intrigued her was the power of “data” to drive business outcomes—is driven by the right tools.

Being hands-on with technology and driven by the quest to develop those “right tools”, she ventured into the field of Data Science to extract the best out of her technical and business functional experience—to drive and deliver cost-effective business analytics solutions for global businesses.

She is now a freelancer and corporate/online trainer and mentors in Data Science with SAS, R, and Python. She works on various projects across different domains for global clients across the U.S. and UK. She has a few publications currently going on and is soon to be published in the Machine Learning and Data Science fields.