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Data Science Noncredit Certificate

Think Across
Boundaries

Unify data analysis and informatics to arrive at understanding and insight.

Demand for data analysts and data specialists is booming, making data science one of the fastest-growing professions. This noncredit certificate will give you the interdisciplinary knowledge to thrive in big data across every category of business. Data science is refining how business gets done in telecommunications, financial services, manufacturing, communications and healthcare.

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Dates

Summer, Fall & Winter Semesters
8-week Courses

Format

Scheduled Online Study (Canvas)

Investment

$299 per course
$100 off when registering for all four

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Making Sense of Data

Data is valuable. Data can be mined for the development of businesses strategies.

But data requires decoding. It needs to be read and analyzed. Data science requires specialized expertise in order to make data-driven discoveries.

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The Future is Data

A world of opportunities awaits you as you learn how to optimize business processes with data science across wide-ranging industries and positions:

  • Product managers or supervisors, monitoring purchase behavior or inventory
  • Accountants or financial specialists, evaluating data for fraud or security breaches
  • Marketing, communications or media specialists, leveraging data to optimize consumer engagement
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Gain a Competitive Edge

Upon successful completion of all the four sessions, you will receive an exclusive UW-Green Bay credential, a digital badge validating your accomplishment and signaling to employers your mastery of the curriculum. The digital badge can be featured on LinkedIn, your resume, email signature and website.
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Flexible Sessions

This certificate program is offered in eight-week, scheduled online courses, allowing you to balance your work and family responsibilities. This noncredit certificate program may be completed in under a year. Each course requires a 6-10 hours per week commitment depending on experience.

Elementary Statistics*

This course introduces descriptive statistics, frequency and contingency tables, correlations and covariances, estimation, confidence intervals, hypothesis testing, t-tests, and correlation and regression analysis. Data visualization, Analysis of variance (ANOVA), Non-parametric statistics, and Chi-Square tests are also covered in the course through the lens of R.

Dates:

February 5-March 29, 2024  Register

July 8-August 30, 2024  Register

November 11, 2024-January 17, 2025 Register


 
Business Intelligence, Data Warehousing & Big Data

This course provides an overview of the main components of data warehousing. It gives the student a look at all the significant facets of developing and using a modern data warehouse in the Analytics and Big Data age. The course also provides insights into the new data sources that were not considered in the past, such as machine outputs, streaming data, and outside data providers, and how to leverage new technology to manage this data beyond traditional relational databases. 

Dates:

February 5-March 29, 2024  Register

July 8-August 30, 2024  Register

November 11, 2024-January 17, 2025 Register


 
Introduction to Databases and Data Analytics*^

This course includes an overview of the basic concepts of SQL (Structured Query Language) and basic concepts of relational database systems. The course covers entity-relationship (ER) Modeling, Relational schema, database integrity constraints, mapping ER diagrams into relational schemas, Database Normalization (3NF) concepts, and basic database query (SQL) fundamentals. The course also includes information about data mining processes.

Dates:

November 17, 2023-January 26, 2024  Register

April 8-May 31, 2024  Register

September 9-November 1, 2024  Register


 
Introduction to Computer Programming*^

This course introduces the history of computing, fundamental computer concepts, and procedural and structured programming techniques. Python will teach basic concepts of program analysis, design, implementation, debugging, testing,  general user-defined methods, and troubleshooting/problem-solving. Students will be given programming issues and problems and must strive to find solutions.

Dates:

November 17, 2023-January 26, 2024  Register

April 8-May 31, 2024  Register

September 9-November 1, 2024  Register


 

* These three classes fulfill the prerequisites the Master of Science in Data Science with UW Extended Campus.
^ These two classes fulfill the requirements of the Master of Science in IT Management with UW Extended Campus.

UW-Green Bay staff Melissa

Need Guidance?

If you have any questions or need additional guidance, please contact Kat Weber, Program Specialist, at 920-663-7317 or weberka@uwgb.edu.

Get Guidance