Analytics: Optimizing Big Data Certificate
Data-supported solutions for improving business performance
- Understand why “big data” is so important in today’s business decisions
- Improve your data management skills
- Join the rapidly growing analytics field
- Power up your career with a leadership development e-module and customized career enrichment options.
Hear from program grads
About the field
What is BIG DATA?
Sorting Out a Boundless World of Big Data
“Managing enormous amounts of data is a major challenge world-wide for businesses today. The data volume keeps increasing while digital content becomes more diverse, with each upgrade to computers and mobile devices contributing to the expansion. Read more…
If you think we’ve got Big Data problems now—with “only” about 9 billion devices connected to the Internet—what’s the situation going to be like when that number soars to 50 billion at the end of the decade? Read more…
In today’s business world, data is easier than ever to collect and store. While the management of this big data is increasingly important to the decision makers in the organization, big data is ever more difficult to analyze.
Analytics professionals or data scientists are invaluable to an organization’s success. They have the unique combination of computational, analytical and communication skills necessary to discover data-supported solutions to important business questions, from an ever-increasing wealth of data.
Who should consider this program?
- Business, marketing, and operations managers
- Data analysts or professionals in any field who deal with large amounts of data
- Financial industry professionals
- Small business owners
Steven P. Bailey
Steven P. Bailey, Ph.D. is a principal consultant with DuPont’s corporate Applied Statistics group. With 34 years at DuPont, he also leads DuPont’s corporate Six Sigma Master Black Belt Network. He is a past president and chairman of the board of ASQ, and is certified as a Six Sigma Black Belt and Master Black Belt by both DuPont and ASQ. He also is a past adjunct faculty member in the department of Mathematical Sciences at the University of Delaware. Steve received his B.S., M.S. and Ph.D. in statistics from the University of Wisconsin.
Aaron J. Owens
Aaron J. Owens is a senior research fellow with the Decision Analytics group at DuPont. That newly created group uses analysis of big data as well as quantifying of uncertainties to aid in making important corporate decisions. Following several years teaching physics and astrophysics at Lake Forest and Kenyon Colleges and at the University of Delaware, Aaron joined DuPont’s Applied Mathematics group in 1980, specializing in mathematical modeling of chemical systems and in supercomputing. He later became the principal founder of DuPont’s data mining efforts, having developed the company’s neural network technology and adopted chemometric methods for process modeling. He was the Technology Leader of DuPont’s Applied Statistics group. Aaron holds a B.S. with Highest Honors in physics from Williams College and M.S. and Ph.D. degrees in theoretical physics and economics from Caltech.
Carmen Traxler is the primary instructor and program director for the Certificate in Analytics: Optimizing Big Data. President of STAT-TRAX, Inc., a company she founded in 1994. She consults and provides training for a variety of industries in the areas of six sigma, performance improvement, design of experiments, general statistics, and statistical process control. Prior to STAT-TRAX, Carmen was employed by the DuPont Company and applied quality management systems to significantly impact business performance. She has more than 25 years of experience in integrating process improvement methodologies with statistical tools. Carmen holds a B.A. in mathematics and an M.S. and a.b.d. Ph.D in statistics.
This program introduces students to the tools needed to analyze large datasets in order to make more informed business decisions. Students learn to gather and organize data for more effective analysis and how to communicate their analyses in a clear and concise manner. Topics include:
- Importing data into an analytics software package
- Performing exploratory graphical and data analysis
- Building analytics models using tools such as multiple regression and decision trees
- Finding the best model to explain correlation among variables
- Learning how to control and assess data variability to better meet customer requirements
To earn the Analytics Certificate, all of the following modules must be successfully completed with a grade of “C” or above.
In this module, students will be introduced to the basics of analytics by learning key terms, concepts and knowledge areas and the use of SAS JMP analytics software. At the end of this module, students will be able to:
- Navigate JMP Software
- Input data from various spreadsheets and databases
- Perform graphical exploratory analysis
- Compare two or more groups
- Analyze paired data
- Use regression analysis to quantify the relationship between two variables
- Create and analyze a designed experiment
In this module, students will learn how to use big data tools to understand correlation among many different variables. At the end of this model, students will be able to analyze large datasets and build analytical models to predict future performance using the following multivariate tools:
- Neural Networks
- Partial Least Squares
- Principal Component Analysis
- Decision Trees
- Multiple Regression
- Cluster Analysis
- Discriminant Analysis
In this module, students will learn how to evaluate if a process is stable and its ability to meet customer requirements. Students will also learn how to evaluate a measurement system’s performance and variability. At the end of this module students will be able to use the following tools:
- Process Control Charts
- Process Capability Analysis
- Measurement Systems Analysis
As a final requirement of the certificate, students will apply the concepts and techniques learned throughout the course to a case study project. The project will incorporate the use of a current data problem that the student would like to solve which will be approved by the instructor. Guidance in completing project milestones is done throughout the program.
The cost of the certificate program is $2,845, due at the time of registration.
Course number: 0405200Click here for details about registration and refund.
Only one discount can apply to any individual registration. Discounts do not apply to registrations for individual certificate modules.
Early bird discountRegister and pay in full by July 21, 2016 to receive a 10% discount.
UD alumni and student discount
A 15% discount available to graduates of UD undergraduate and graduate degrees, UD certificate programs and Professional and Continuing Studies noncredit programs; as well as current matriculated UD students (part-time or full-time). To apply discount, call 302-831-7600.
A 15% discount available to active members of the military as well as veterans. Please provide appropriate ID when registering. To apply discount, call 302-831-7600 or 1-866-820-0238.
Enroll two or more individuals from one business or organization in a noncredit professional development program and benefit from a 15% reduction in the total cost of registration. Individuals must register at the same time. To apply discount, call 302-831-7600.
Receive a 10% discount if you register and pay in full at or before the upcoming semester’s Certificate Information Session.
Business association membership discount
Are you (or your employer) a member of a business association, like the Delaware State Chamber of Commerce? View the list of partner discounts.
Economic Competitiveness for Delawareans Scholarship
Applicant must be a high school graduate, a currently unemployed Delaware resident collecting unemployment insurance, and financially able to pay half of program cost. Fall 2016 application deadline: August 5, 2016. Download further details with application.
Delaware Workforce Investment Board
Individual Training Account (ITA) grants for continuing education noncredit courses. Applicants may be dislocated workers, unemployed because of layoffs or because their employer went out of business, or may be employed with income below Family Income Guideline thresholds. Learn more by speaking with a case manager at a Delaware Department of Labor One Stop Service Center. After grant approval, contact the UD noncredit registrar at 302-831-7600.
Governor’s Education Grant
The Governor’s Education Grant provides up to $2,000 to qualified individuals. For details or to apply, visit the Governor’s Education Grant for Working Adults. For details, contact Debbie Farris at firstname.lastname@example.org or 302-831-2743.
This program is approved by the Delaware State Approving Agency for the training of veterans. Contact the Veterans Affairs regional office at 1-888-442-4551 to determine your individual eligibility. When eligibility is determined, please submit a copy of your DD-214 (if discharged, VA 22-1990 (if active), or NOBE (if active Reserve or National Guard) when you register for one of the eligible certificate programs.
A credit card payment plan is available for this program, with a $50 payment plan fee added to the cost of the certificate program. Specific terms such as the required number of scheduled payments varies by program. For more information, view the current semester’s payment plan details, call 302-831-7600 or write to email@example.com.
Private loans may be an option to pay for noncredit programs, for example, obtaining a loan from your bank or credit union. One option may be the Sallie Mae Smart Option Student Loan (select University of Delaware Noncredit, code 00143198 from the drop-down menu). To speak with a UD ACCESS advisor about loan options call 302-831-2743 to make a phone or in-person appointment.
Taxpayers who pay qualified tuition and related expenses to an eligible educational institution may be able to claim tax credits or deductions on their federal income tax. Call 302-831-1138 for a “Confirmation of Tuition” letter, which can be provided by the University of Delaware noncredit registrar. Please note the registrar’s office does not supply a Form 1098-T, as the Confirmation of Tuition represents accepted documentation.
Thursday, September 8, 2016, 6-9:15 p.m.
Thursday, September 15, 2016, 6-9:15 p.m.
Thursday, September 22, 2016, 6-9:15 p.m.
Thursday, September 29, 2016, 6-9:15 p.m.
Thursday, October 6, 2016, 6-9:15 p.m.
Big Data Tools
Thursday, October 13, 2016, 6-9:15 p.m.
Thursday, October 20, 2016, 6-9:15 p.m.
Thursday, October 27, 2016, 6-9:15 p.m.
Thursday, November 3, 2016, 6-9:15 p.m.
Thursday, November 10, 2016, 6-9:15 p.m.
Process Control and Capability
Thursday, November 17, 2016, 6-9:15 p.m.
*Tuesday November 22, 2016, 6-9:15 p.m. [This session meets on a Tuesday.]
Thursday, December 1, 2016, 6-9:15 p.m.
Thursday, December 8, 2016, 6-9:15 p.m.
Thursday, December 15, 2016, 6-9:15 p.m.
Thursday, February 18, 2016, 6-9:15 p.m.
Thursday, February 25, 2016, 6-9:15 p.m.
Thursday, March 3, 2016, 6-9:15 p.m.
Thursday, March 10, 2016, 6-9:15 p.m.
Thursday, March 17 2016, 6-9:15 p.m.
Big Data Tools
Thursday, March 24, 2016, 6-9:15 p.m.
Thursday, March 31, 2016, 6-9:15 p.m.
Thursday, April 7, 2016, 6-9:15 p.m.
Thursday, April 14, 2016, 6-9:15 p.m.
Thursday, April 21, 2016, 6-9:15 p.m.
Process Control and Capability
Thursday, April 28, 2016, 6-9:15 p.m.
Thursday, May 5, 2016, 6-9:15 p.m.
Thursday, May 12, 2016, 6-9:15 p.m.
Thursday, May 19, 2016, 6-9:15 p.m.
*Wednesday, May 25, 2016, 6-9:15 p.m. [This session meets on a Wednesday.]
The program can be completed in three months.
- A fully charged laptop (PC or Mac) is required to participate in this class.
- A copy of JMP® Pro statistical analysis software is included with this program, and the software is compatible with both Mac and PC.
While there are no formal requirements for admission to this program, please note the following recommendations:
- Statistics background—the course uses statistics throughout the curriculum. A basic understanding of statistics is recommended but not required.
- Some prior college coursework is recommended, as the modules are taught at the baccalaureate level and are fairly rigorous.
- Prior experience with data management is helpful.
- Study and class preparation—Most students have said that for every hour in class, they spent 1-2 hours outside of class studying and preparing for class.
- JMP® Pro statistical analysis software will be used in the classroom.
- I do not have a background in statistics, will I be able to do the course work? / What are the enrollment requirements for this program?
- What software will be used in the class?
- How much study time outside of class is necessary?
- Is there a national organization of analytics professionals?
- Is there a certification available in the field of data analytics?
This program is taught at a baccalaureate level. While there are no formal requirements for admission, the course uses statistics throughout the curriculum. A basic understanding of statistics is recommended but not required.
JMP® Pro statistical analysis software will be used in the classroom.
Most past students have said that for every hour in class, they spent 1-2 hours outside of class studying and preparing for class.
INFORMS (Institute for Operations Research and the Management Sciences) is the largest professional society for professional in the field of operations research, management science and analytics. The INFORMS website is a great resource for professionals in the field.
Informs offers a Certified Analytics Professional (CAP®) designation. Click here for details on becoming a Certified Analytics Professional.