Data Visualization and
Predictive Analytics Workshop

January 27-29, 2020 | San Diego, California

Pricing
Scholarships
Hotel
Schedule
Workshop Descriptions
Register Today!

You will need to bring a laptop for this hands-on workshop.

Colleges and universities are increasingly reliant on data to make decisions and solve problems. As a result, business officers need to know how to search for and utilize key metrics that identify and solve problems. 

This technical workshop walks through the data lifecycle from gathering data, organizing it in a meaningful way, exploring the data for insights, using metrics to solve problems by using data visualization, and presenting data to top level administrators. 

Time and guidance will be provided to experiment with the techniques covered in the course. We will use Tableau, an industry-leading software for data visualization. No prior knowledge is required. 

Register Today!

Pricing

  Early Bird Pricing After December 1
Member Registration $675 $725
Non-Member Registration $775 $825


Cancellation Policy
 

Refunds will be given upon written request 30 days prior to program, less a $50 cancellation fee. Substitutions are allowed at any time at no additional charge.


Scholarship Opportunities

WACUBO offers professional development scholarships to employees of WACUBO member institutions. These scholarships will go toward all or a portion of the registration fees of an annual conference, professional development workshop, or other WACUBO sponsored professional development programs

Scholarships DO NOT cover other expenses (e.g. travel, incidentals, etc.).

Learn More and Apply Today!

Hotel Info

Hilton San Diego Airport/Harbor Island
1960 Harbor Island Blvd
San Diego, CA 92101

Room Rate: Starting at $179 per night with limited amounts available from January 26-29, 2020. Reserve your room by December 27, 2019.

Parking: $20 per night and $8 per day

Reserve Your Room Today!

Booking Code: WACUBO

Phone reservations can be made by referencing the booking code WACUBO via the reservations center at (800) 445-8667.


Schedule at a Glance

Each course takes place throughout the entire day (8:30 am - 4:30 pm) over the course of 3 days. You can earn an estimated 23 CPE hours in Management Services.  

Monday, January 27 Tuesday, January 28 Wednesday, January 29
Communicating with Data Visualization Predictive Analytics
and Data Mining for Business Officers
Predictive Analytics
and Data Mining for Business Officers

 


Workshops Descriptions

Communicating with Data Visualization January 27

Course Description

Colleges and universities are increasingly reliant on data to make decisions and solve problems. As a result, business officers need to know how to search for and utilize key metrics that identify and solve problems.

This technical workshop walks through the data life cycle from gathering data, organizing it in a meaningful way, exploring the data for insights, using metrics to solve problems using data visualization, and presenting data to top level administrators.

Time and guidance will be provided to experiment with the techniques covered in the course. We will use Tableau, an industry-leading software for data visualization. No prior knowledge is required. 


Learning Objectives

  • Gain familiarity with general principles of selecting metrics and visualizing data
  • Understand principles for using data to brief senior leadership
  • Become acquainted with methods for exploring a dataset
  • Practice creating visualizations and dashboards in Tableau
  • Learn about new technologies for data visualization

Presenter

Dr. Rebecca T. Barber is the Associate Vice President for Financial Planning, Budget and Analysis at the University of Nevada, Las Vegas. She works extensively with all aspects of university data for the purpose of strategic and financial planning, predictive modeling and econometric analysis. She is responsible for the design and development of a long-range forecasting model used in university decision making. She is further responsible for the university-wide budget system. She holds a Ph.D. in Education Policy Analysis from ASU as well as an MBA from the W.P. Carey School of Business. Dr. Barber has developed and teaches a one-of-a-kind 15-credit online graduate certificate on Advanced Analytics in Higher Education, designed to develop analytic capacity within higher education. 

 

Predictive Analytics and Data Mining for Business Officers January 28 & 29

Course Description

Predictive analytics is a phrase that litters the news, but one with which many business officers have little experience. We often hear about predictive analytics and data mining technologies being applied to enrollment and retention problems, but it may not be immediately obvious how the business and finance parts of an institution can use these technologies. Further, the terminology can seem arcane, with techniques drawn from statistics, computer science, and a variety of other technical areas. This workshop will teach participants how to use data mining and predictive analytics to improve the efficiency of their institution.

The session will cover the full life cycle of a project, from idea to implementation and assessment. No prior knowledge of data mining will be assumed, although a basic understanding of statistics is helpful. We will use RapidMiner, an industry-leading data mining tool that requires no programming skills.


Learning Objectives

  • Understand the terminology and tools involved in predictive analytics, data mining, and other advanced analytic techniques
  • Learn a repeatable process for advanced analytics that can be applied to a variety of business problems
  • Gain experience using an open source, menu driven tool to perform and interpret an analysis
  • Practice assessing the results of an analysis to determine next steps

Presenters

Michelle Hardwick has been working in data warehousing and business intelligence for over 15 years in multiple industries including healthcare and e-commerce. She also teaches a graduate level course on analytics at Utah State University. Michelle is active in the user group community with the Independent Oracle Users Group (IOUG) and Utah Oracle Users Group (UTOUG) and frequently speaks at industry conferences about data literacy, analytics, data visualization, machine learning and data warehousing. Michelle is the Director of Data Science & Analytics for Salt Lake Community College, leading a team focused on using data to improve student success at the college. Her team delivers dashboards, ad hoc data, research and surveys to the college community and is known as the data experts on campus.

Mark Naufel received a bachelor’s degree in finance and master’s degrees in both business analytics and systems engineering from Arizona State University. As an undergraduate, he served as student body president and was later appointed by the Governor of Arizona to serve a two-year term on the Arizona Board of Regents as the Student Regent. Currently he is pursuing a PhD in human systems engineering at ASU. Mark is the Executive Director of Strategic Projects at ASU’s Knowledge Enterprise and leads an interdisciplinary lab of exceptional students called The Luminosity Lab. Luminosity is an applied research and development lab that aims to positively impact society through the use of emerging technologies. Previously, Naufel drove strategy and data initiatives for companies both locally and in Silicon Valley - working at companies such as Cisco Systems, The Wolff Company and the Arizona Chamber of Commerce. He also served as the political director for one of Arizona’s political parties, leading political and data strategy for the 2014 statewide races, and was nominated by Arizona Capitol Times as one of Arizona’s rising political stars.


Contact

Elizabeth Barron Silva, Santa Clara University, PDWC; [email protected]


The Western Association of College and University Business Officers (WACUBO) is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org.