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Data Science


Empower Your Career

Data science has been ranked as one of the fastest-growing professions, with demand for analysts booming. This noncredit certificate will give you the knowledge and expertise to thrive in big data in almost every category of business.

Data science is refining how business gets done in telecommunications, financial services, manufacturing, communications and healthcare.

Accelerated & Online Format

$299/course ($100 off when registering for all 4)
— Online Training, Scheduled Classes —


The accelerated online format provides flexibility that will allow you to balance your work and family responsibilities while continuing your education and advancing your career. The noncredit certificate can be completed in under a year. Each course is eight weeks in length. 
 
Core Certificate Courses Dates Description                                                                       
INTRODUCTION TO COMPUTER
PROGRAMMING*		 Jun 28-Aug 20, 2021

Sep 10-Nov 5, 2021   

Apr 29-Jun 24, 2022    

Providing an introduction to the history of
computing, fundamental computer concepts, procedural and structured programming techniques, including Python. 
ELEMENTARY STATISTICS* Jun 28-Aug 20, 2021 

Nov 12, 2021-Jan 14, 2022 

Jul 1-Aug 26, 2022             		 Introducing descriptive statistics, frequency and contingency tables, correlations and co-variances, Estimation, confidence intervals, hypothesis testing and t-tests.
INTRODUCTION TO DATABASES
AND DATA ANALYTICS*		 May 3-June 25, 2021

Sep 10-Nov 5, 2021

Apr 29-Jun 24, 2022		 Providing an overview of basic concepts of SQL (Structured Query Language and basic concepts of relational database systems.
BUSINESS INTELLIGENCE, DATA WAREHOUSING AND BIG DATA                                                                                                                  Jun 28-Aug 20, 2021 

Nov 12, 2021-Jan 14, 2022

Jul 1-Aug 26, 2022		 Giving students a look at the main components of data warehousing and all the major facets of developing and using a modern data warehouse in the age of analytics and big data.

* NOTE: These three classes fulfill the prerequisites for our Master of Science in Data Science collaborative degree. 


Be a Part of Big Data's Future

  • IF YOU ARE A PRODUCT MANAGER OR SUPERVISOR managing purchase behavior or inventory and want to grow your potential.
  • IF YOU WORK IN ACCOUNTING OR FINANCIAL SERVICES evaluating data for fraud or security breaches and want to add value and get promoted.
  • IF ARE A MARKETING, COMMUNICATIONS OR MEDIA SPECIALIST looking to leverage data in ways that optimize consumer engagement and progress your interests and career.

Gain a Competitive Edge

Upon completion of the certificate, you will receive an exclusive UW-Green Bay Digital Badge, validating your accomplishment and signaling to employers your mastery of statistics, data analytics, business intelligence and big data. The digital badge can also be displayed on LinkedIn, your resume or your email signature. The field is predicted to create 11.5 million jobs nationwide by 2026, so prospective job seekers will have numerous opportunities.

Take the Next Step

Let UW-Green Bay help advance your career. Each course is $299, and if you register for all four you get $100 off. 

Register Now

 

Questions?

If you would like more information or have any questions, please contact Melissa Betke, Program Specialist at betkem@uwgb.edu or 920-663-7337.
 


Online Learning Glossary

Cou​rse Management System: A course management system consists of a set of educational and online tools. The educators are able to use these tools in order to create an online course with various types of content, such as videos or audio files. This content can then be posted on the internet without any need to use computer programming languages or HTML.  The UW system uses Canvas as its online course management system. 

Mixed: A mixed class is presented in a combination of online formats, often scheduled and virtual. 


Scheduled: Similar to an in-person class, in a scheduled or synchronous class the instructor will present material on a day by day or weekly basis with set times for study and response.

Self-Paced: The learner has the control of the amount of material and duration they need in order to learn the information properly. It differs from other learning methods because the learner is in control of what they learn and when they learn it.  Self-paced courses don’t follow a set schedule, and there is no real-time interaction. They are all about flexibility. All of the course materials are available as soon as the course starts, and the learner goes through them at their own speed. This online teaching format may also be called asynchronous. 

Virtual: An online learning environment that is virtual means an instructor will show, explain or test certain skills that can help others to learn. The class takes place in real-time with specified start and end times. The instructor and other students have to use video conferencing software like Zoom, Blackboard, Microsoft Teams, Cloud Meeting, WebEx or other to interact with each other face-to-face in a virtual space. Virtual training is used not only for educational purposes but for commercial as well as industrial training also.