Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data.
A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. Make more intelligent decisions.
And drive relevant change. In this module you get an overview of this course and set up the data you need for practices and activities. Lectures demonstrate the concepts you learned, and readings from the SAS Certification Prep Guide reinforce those concepts.
The review and programming questions assess your understanding of the material. This module reviews the preparing, analyzing and exporting modules of the Getting Started with SAS Programming course. This module enables you to apply what you learned in Getting Started with SAS Programming to a real programming problem. Lectures demonstrate the concepts you learned about for preparing data, and readings from the SAS Certification Prep Guide reinforce those concepts. Nicely structured course with ample of hands-on exercises.
The case study part is really important as it will give you a chance to apply the skills on some real world datasets. Why aren't all the other MOOCs as simple and informative as this specialisation? Just why? This course shows me what I need to go over for the certification exam. I like the explanations for the quiz answers.
Also, both instructors have pleasant voices. One of the best courses to learn SAS programming. The course is well-structured and exercises make us proficient in SAS programming without attending college. Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit.
If you don't see the audit option:. When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
If you only want to read and view the course content, you can audit the course for free. More questions? Visit the Learner Help Center. Data Science. Data Analysis. Thumbs Up. Enroll for Free Starts Nov Offered By. About this Course 4, recent views. Flexible deadlines. Shareable Certificate. Intermediate Level. Hours to complete. Available languages. Instructor rating. Stacey Syphus Senior Manager Education. Advertising Disclosure. What first began as an agricultural research project at North Carolina State University eventually grew into a full-fledged software and services company by SAS has gone on to develop a solid customer base in the banking and pharmaceutical industries as well as in academia and at numerous agencies at all levels of government.
Today, SAS is a leader in business analytics, data warehousing and data mining. Coming in at No. Indeed, the company's low turnover rate 4 percent in is an indicator of its commitment to its employees and, indirectly, to its customers as well. SAS customers span the globe with more than 83, instances installed in countries. SAS has awarded more than , certifications since the program's introduction in , according to Brightcove.
SAS certifications, along with required exams and costs, are described in more detail in the following sections. Although experience levels aren't specifically indicated for each certification, a good rule of thumb is a minimum of eight months of experience on the base SAS system for Base Programmers and two to three years of relevant, hands-on experience for all other certifications before candidates tackle their respective exams.
All exams are administered by Pearson VUE or through a SAS-sponsored certification exam session typically in conjunction with a training course. Note that all certifications covered below are based on SAS 9. The company currently offers three Foundation Tools certifications:. The Advanced Analytics credentials are designed for SAS professionals who gather, manipulate and analyze big data using SAS tools, run reports and make business recommendations based on complex models.
The certifications in this category include:. No exam is required. Credential is awarded to candidates who possess the following two certifications:. For the following certifications, there are no credential prerequisites required to take these exams, though a thorough knowledge of a number of related skills and techniques is required.
The three certifications in this category are:. Professionals whose workdays or career aspirations revolve more around managing data and platforms rather than deep statistics, analysis and modeling will gravitate to data management credentials.
Candidates must know how to set up folders, manage user accounts, monitor system performance, apply security techniques, perform backups and complete other administrative tasks. The certification exam features 70 multiple-choice questions, a minute time limit, and candidates must answer at least 70 percent of the questions correctly to pass the exam.
SAS JMP is data analysis and visualization software that allows users to explore, mine and share data analyses in a graphical format. Many Professional Certificates have hiring partners that recognize the Professional Certificate credential and others can help prepare you for a certification exam.
You can find more information on individual Professional Certificate pages where it applies. This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables.
Prerequisites: Learners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems.
No prior SAS experience is needed. 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.
In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems.
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. Make more intelligent decisions. And drive relevant change. If you subscribed, you get a 7-day free trial during which you can cancel at no penalty.
See our full refund policy. To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. Visit your learner dashboard to track your progress.
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