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Advanced Analytics Using SAS® Graduate Certificate

School of Business and Technology

Overview

Through collaboration with SAS, Capella offers the Advanced Analytics Using SAS® graduate certificate program, designed for professionals who wish to expand their data analytics skills and professional opportunities. Our graduate certificate will prepare you to formulate complex organizational problems to be solved using analytics, apply advanced data analytic tools and strategies with structured and unstructured data, and represent data effectively through reporting and visual analytics.

Prepare to fill the analytics skills gap with a certificate that includes:

  • Courses designed in collaboration with SAS
  • Free SAS® certification exam vouchers
  • Digital badges that can be shared on your professional networks
  • Virtual internships
  • Access to robust SAS® software including SAS® Enterprise Guide, SAS® Visual Analytics, and SAS® Enterprise BI Server

Earn SAS® Certification and a Digital Badge during Your Program

Stand out to employers with our Analytics Using SAS® graduate certificate which aligns with:

  • SAS® Certified Predictive Modeler certification

Qualified learners also receive vouchers to take these exams at no additional cost.

You can also receive a digital badge that helps validate your skills and accomplishments, and allows you to showcase your knowledge to potential employers and peers on your professional networks, such as LinkedIn.

Experience a Virtual Internship and Interactive Lab

Capella’s virtual internship can help you develop the skills to be a strategic partner, a knowledgeable data analyst, and a dynamic leader.

In our lab setting, students have access to robust SAS® Enterprise Guide, SAS® Visual Analytics, and SAS® Enterprise BI Server.

Apply Certificate Credit to Your Degree

You can gain a competitive advantage in the analytics field by earning the Advanced Analytics Using SAS® academic certificate on its own, or alongside an MS in Analytics degree.

You also have the opportunity to apply for and earn the Analytics Using SAS® graduate certificate.

Certificate Outcomes

Our Advanced Analytics Using SAS® graduate certificate prepares you to advance in the data analytics field by providing the knowledge needed to effectively manage, analyze, and visually represent complex data. You’ll develop and demonstrate advanced skills in data mining, data modeling, forecasting, analysis, and visual representation. Using both structured and unstructured data, learn to formulate and solve complex business problems using advanced data analysis strategies. 

At a Glance

  • Online
  • 5 Core courses

Classes Start January 13th

Ready to get started? We’re ready for you. Chat with an enrollment counselor or apply now to take the first step on the journey toward your future.

$50 application fee (waived w/promo Fall19)

Cost & learning format

Online education isn’t one-size-fits-all. We know you’re busy—you need a learning experience tailored to your life, not the other way around. Capella has learning and tuition formats to suit you, however you learn. 

A more structured learning format with an active peer community and faculty guidance. We’ll set the schedule, you meet the deadlines. 

  • Based on the quarter system; 1-3 courses per 10-week quarter
  • 1 semester credit = 1.5 quarter credits
  • Weekly assignments and courseroom discussions
  • Pay for what you take, price varies by courseload or term
$8,340$13,853* MAX TRANSFER CREDITS–TYPICAL TRANSFER CREDITS
$695 per credit, 20 total quarter credits, 0 max transfer credits

Learning Outcomes »

View all tuition and fees »

Advanced Analytics Using SAS Certificate Online - Capella University

*This is only an estimate, using general program pricing, and it does not include fees (including application and resource kit fees).  Your price may be higher or lower depending on your specialization, transfer credits, and tuition discounts. If transfer credits are allowed in this offering, the prices above show what you would pay if you brought in the average number of transfer credits and the price if you brought in the maximum allowed transfer credits.  

Get the details

Speak with an enrollment counselor to get a personalized cost estimate for what you can expect to pay.

Ways to save

At Capella, we believe your education is an investment in your future. It’s also an investment within your grasp. Your goals are achievable—there are more ways to save than you might think. 

10% military discount

If you're an active-duty military service member, spouse, or veteran, discounts may be available.

Employer & association discounts

If your employer or organization is a partner with Capella, you may be eligible for a tuition discount.

Employer reimbursements

Many employers offer tuition reimbursement to employees. Ask your manager about options.

Sample courses

Show course with description
ANLT5050 *
Concepts of Data Mining

In this course, learners develop their skills in creating a predictive model. Learners apply data mining algorithms, models, and data mining modeling techniques to test, fit, and implement an algorithm and/or model with appropriate tools. Learners practice interpreting results to find an application for those results. Finally, learners apply control, feedback, and evaluation approaches to enhance, continue, or retire the algorithm or model using big data. Prerequisite(s): ANLT5030. Graduate certificate learners in Advanced Analytics Using SAS® are exempt from this prerequisite.

4 quarter credits
ANLT5060
Applied Forecasting

In this course, learners evaluate forecast model outcomes to solve organizational problems. Learners examine the impact of time and data latency on forecasting, and practice identifying patterns in the output of forecast models. Learners also apply forecasting techniques in their communication with stakeholders.

4 quarter credits
ANLT5070 *
Text Mining

Learners in this course gain an understanding of the early stages of text mining. Learners examine document management practices, text-scraping techniques, and various methods for modeling their findings as they solve text-based mining problems. Prerequisite(s): ANLT5030. Graduate certificate learners in Advanced Analytics Using SAS® are exempt from this prerequisite.

4 quarter credits
ANLT5080 *
Advanced Analytics and Modeling

Learners in this course demonstrate advanced practice in applying the analytic life cycle. Learners examine approaches to visual analytics and are introduced to geospatial data techniques. Learners also apply their analytic skills to current organizational problems and apply analytic solution scoring and project management skills for effective team performance. Prerequisite(s): ANLT5050.

4 quarter credits
ANLT5100 *
Visual Analytics

In this course, learners articulate the value of visualization to telling the analytic story to stakeholders. Learners explore the appropriate presentation of types of data and apply best practices for the design of effective visualizations. Learners also develop skills for presenting data to stakeholders in a succinct and relevant manner. Prerequisite(s): ANLT5030 or ITEC5040. 

4 quarter credits

Faculty & support

You’re never going it alone at Capella. Our dedicated faculty and support teams are waiting to guide, help, and advise you through every step of your educational journey.

Enrollment counselors

These experts will set you up for success. They’ll help you find the right degree and program, and answer all your questions about Capella.

Advisors

Advisors know the details of your program. Got questions about courses? Instructors? Resources? Advisors have answers.

Advisors

Advisors know the details of your program. Got questions about courses? Instructors? Resources? Advisors have answers.

Career center

For this team, it's more than resumes and interview tips. It's about thoughtful and strategic career planning—beyond graduation.

Ready for the next step?

Learning online doesn't mean going it alone. Help is here. From faculty, coaches, advisors, and more. Plus a supportive community of students who are as passionate about their careers as you are about yours.