The editors at Solutions Review have compiled this list of the best SAS courses on Udemy to consider if you’re looking to grow your skills.
SAS is one of the most widely used data management and analytics platforms in the world. The company’s main product is built atop a data quality platform that allows users to improve, integrate, and govern enterprise data. SAS Data Management can ingest data from legacy systems and Hadoop, and create rules once and reuse them. SAS Visual Analytics allows users to visually explore data to automatically highlight key relationships, outliers, and clusters. Users can also take advantage of advanced visualizations and guided analysis through autocharting.
With this in mind, we’ve compiled this list of the best SAS courses on Udemy if you’re looking to grow your skills for work or play. Udemy is one of the top online education platforms in the world with more than 130,000 courses, expert instruction, and lifetime access that allows you to learn on your own schedule. As you can see below, we broke the best SAS courses on Udemy down into categories based on the recommended proficiency level. Each section also features our inclusion criteria. Click GO TO TRAINING to learn more and register.
The Best SAS Courses on Udemy for All Levels
Note: We included courses with more than 250 reviews and a rating of 4.0 stars or better.
Description: This is the complete SAS Base certification programming course for beginners and anyone interested in passing the SAS BASE exam. This module is a combined course with content from a variety of related training. Coding exercises and projects are perfect for the practical coding questions in the exam for SAS Certified Specialist: Base Programming Using SAS 9.4.
Description: If you are using SAS Enterprise Guide, and you want to learn how to code/program instead of using the point and click interface, this course is ideal! If you are interested in SAS Predictive Analytics, this course has an introduction to the topic. The lessons in this course are meant to be taken in order, as each lesson builds upon the knowledge, and may mention some important ideas/concepts. If you skip videos, it may appear that some aspects are not being explained.
Description: You should taker this course if you need a complete and comprehensive package that covers SAS programming, intuitive statistics interpretation, data analysis, and predictive modeling. This complete SAS course includes more than 150 lectures and contains 11 real-world case studies/projects in different applied areas such as banking and marketing. After this intensive training, you will be equipped with a powerful tool for the sexiest data analytics career path.
Description: This course is all about credit scoring / logistic regression model building using SAS. The module will take approximately 30 hours to complete and features seven sections. The only requirement necessary is a basic knowledge of SAS. This SAS training was designed with students, analysts, and modelers.
Description: This course is your complete guide to mastering the SAS programming language. The module covers all aspects of SAS programming, starting from basic concepts like variables. datasteps, datasets, PROC (SAS Procedures) and Importing data in the SAS environment to performing operations on data using – SET statement, SAS Functions, conditional processing and handling dates. It then leads to intermediate level concepts of using SAS Procedures where instructors cover PROC MEANS, PROC SORT, PROC FREQ, and PROC PRINT. Base SAS concepts are then concluded with sessions on data merging and exporting data out of SAS.
Description: A comprehensive, simple, and visual guide to data analysis using SAS Programming, this course is simplified into four main areas: data preparation, data structuring, data visualization, and optimizing code using powerful SAS macros. This course is for absolute beginners as well as advanced users who wish to learn SAS Programming and delivered in a highly visual style. At the end of the module, you will try out most concepts discussed in this course through a coding exercise that will take you through the 4 sections.
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