The 4 best SAS Programming Books

SAS simply stands for Statistical Analysis System. The suite was developed by the SAS Institute for use in predictive analytics, data management, multivariates analysis, and business intelligence. The first version of the suite was released in 1966. Since then, a lot of improvements have been carried out on the suite, making it become widely used in statistical analysis all around the world. The data-driven world and the increasing demands for database administrators have made the software to get interest from a lot of people who want to learn it. Fortunately, there are so many books that intended learners can buy to aid their quest. The top 4 of such books are discussed below.

  • Short and concise
  • Serves as a great reference material
  • Can be easily carried about as it is pocket-sized
  • Contains exercise the reader can use for practice purposes.

SAS Programming: The One-Day Course

The book SAS Programming was written by Neil H. Spencer. It is aimed at students and researchers who want to learn SAS programming. The book contains a one-day course on the subject matter. It begins with SAS programming, discusses manipulations of basic data and also explains statistical summaries that can be done with SAS. The book was inspired by a time when the author had to deliver a one-day SAS programming course. After completing the course and being impressed by the concise presentation nature of the training, he decided to incorporate it into a pocket-sized reference that can be a guide for other people who are interested in learning SAS. The book presented techniques for programming while teaching statistical methods concurrently. It discusses how to manipulate actual data that readers can relate to. Every programming technique taught in the book has questions that the reader can attempt to solve for boosting his confidence in SAS programming.

Cody’s Collection of Popular SAS Programming Tasks and How to Tackle Them

  • Teaches SAS programming through real-life examples
  • Clear and concise method of presentation to make it easy to read and understand
  • Entertaining so that the audience does not feel too bored reading the book
  • Opportunity to learn some useful tips and tricks

This book was written by Ron Cody and released on 21 September 2012. The 162 pages’ material contains a number of tasks in SAS programming that people are bound to encounter as a user of the program. The tasks are solved in an entertaining, clear and concise manner. Furthermore, some tricks and tips are also exposed in the book as the author attempts to solve the problem. The implication is that you tend to understand what the problem is before it solved. It will thus, be easier for the reader to implement such solutions when faced with similar problems that could include different numbers. The book is also great for advanced users of SAS programming, as they are bound to find better and easier ways of solving problems. The topics covered in the book include restructuring and summarization of data. Programs that can be used to combine data sets so that they are more useful are also discussed.

SAS Statistics by Example

  • Written in easy-to-follow language
  • Discussion of Statistical Analysis methods you will not find in any other book
  • Makes use of rich examples

When it comes to SAS programming books, you can never go wrong with Ron Cody’s books. This is another book, written by Ron Cody that was released on 22 August 2011. The book also uses examples to teach SAS statistics. The author believes that once you show a user a problem and teaches him how to solve that problem, he will always be able to solve that and related problems. This is as opposed to just explaining topics, without adequate emphasis on how they can be used. The book is structured around the usage of statistical techniques or tasks that are mostly used such as regression, ANOVA and comparing 2 means. For every statistical task, examples that are heavily annotated are used to discuss the task. The book also features the use of ODS Statistical Graphics methods including SGPANEL, SGSCATTER, and SGPLOT that show the process through which required statistics is produced by SAS. The pros of the book include:

Statistical Programming in SAS

  • Great for beginner to advanced users
  • Narrative and user-friendly writing style
  • Extensive cases studies and examples that readers can relate to

Statistical Programming in SAS was written by A. John Bailer and released on 17 April 2015. The book is great for statisticians as well as programmer analysts who want to get a good grasp of data analysis and SAS programming. The author integrates interesting applications of statistics with SAS tools towards teaching SAS 9.2 programming. The book introduces ideas for programming that are required in statistical analysis, management of data, display of data and simulation of data. The author uses a narrative and reader-friendly style in the book. Extensive case studies and examples are also used in the book to give the readers real-life perspectives of the application of statistical analysis and the SAS programming techniques they are using. Beginners and advanced users are expected to find the book very helpful as it covers every aspect of statistical programming. The pros of the books include:

Conclusion

Learning SAS programming is very important due to the increasing need for analysis of data. However, a lot of people are often confused as to where to start, especially due to the fact that a lot of people try to avoid anything mathematics. If for any reason, you have to learn SAS programming, or you are already a SAS programmer, any of the books above can serve as a tutor, guide, and reference for you. The books explain in details what statistical analyses are and use examples to further explain how they are solved.

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