Displaying 1 - 32 of 32 No filters currently applied.

Data Visualizations 1 10156113

  • 1.00 credits
  • IT - Data

    • Design charts, graphs, dashboards, and other visualizations with an understanding of color and chart type. Learners use the appropriate types of chart based on the data that is being presented and the audience that is viewing the presentation and also build charts for the purpose of exploratory data analysis.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    10/01/2025
    		Online Required Due Dates Online
    Aug 25 – Oct 1
    -
    Online
    J.J. Minarcin
    		View Rates

    Data Mining & Predictive Analytics 1 10156109

  • 1.00 credits
  • IT - Data

    • Employs RapidMiner, R, and Orange software packages in order to facilitate exploration of clustering, association, and text mining algorithms. Learners import a variety of data and use the algorithms in the various software products to extract meaningful information. Learners demonstrate their findings via PowerPoint and short video presentations.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    10/01/2025
    		Online Required Due Dates Online
    Aug 25 – Oct 1
    -
    Online
    J.J. Minarcin
    		View Rates

    Foundations of Data Engineering 10156124

  • 3.00 credits
  • IT - Data

    • Provides a comprehensive introduction to data engineering principles and foundational cloud computing for data. Students will learn to build and maintain scalable data pipelines, process and store large datasets, and implement cloud-based solutions for secure and efficient data management. With a focus on real-world applications, this course explores data ingestion, transformation, and storage strategies using AWS tools. By combining essential cloud computing skills with data engineering techniques, students will develop the expertise needed to support analytics, machine learning, and business intelligence workflows across diverse environments.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    12/17/2025
    		Online Required Due Dates Online
    Aug 25 – Dec 17
    -
    Online
    J.J. Minarcin
    		View Rates

    Intro To Python 10156102

  • 1.00 credits
  • IT - Data

    • Introduces computer programming and terminology in the Python programming language. Special attention is paid to concepts essential to writing basic computer programs. These concepts include: Data Types, Expressions, Loops, File Interaction, Collections, and Functions. Additionally, several tools required to develop Python applications will be explored. Throughout the course learners will develop increasingly complex applications as new topics are introduced.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    10/15/2025
    		Online Required Due Dates Online
    Aug 25 – Oct 15
    -
    Online
    Zachary Thunder
    		View Rates

    Introduction to AI 10156121

  • 1.00 credits
  • IT - Data

    • Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    08/25/2025 –
    10/01/2025
    		Online Required Due Dates Online
    Aug 25 – Oct 1
    -
    Online
    J.J. Minarcin
    		View Rates

    Intermediate Algebra W/Apps 10804118

  • 4.00 credits
  • Mathematics

    • This course offers algebra content with applications and an introduction to functions and complex numbers. Content builds upon the arithmetic of real numbers by using variable equations to solve problems. Topics include graphing and finding algebraic solutions for linear equations and inequalities, quadratic, exponential, polynomial, radical, and rational equations.

    3 Course Sections
    3 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01AYW Fall
    Open
    08/25/2025 –
    12/17/2025
    		Attend Your Way Online Available Wausau Main Campus
    Aug 25 – Dec 17
    Thursday, Tuesday
    08:00 AM - 09:50 AM
    A223 - Classroom - A Building
    May Shaw
    		View Rates
    #02VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates
    #03VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates

    Calculus 1 10804198

  • 4.00 credits
  • Mathematics

    • Introduction to differential and integral calculus and plane analytic geometry; Limits, derivatives, and graphs of algebraic, trigonometric, exponential, and logarithmic functions; antiderivatives, the definite integral, and the fundamental theorem of calculus, with applications.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    Amy Pippenger
    		View Rates

    Trigonometry W/Apps 10804196

  • 3.00 credits
  • Mathematics

    • Topics include the unit circle, trigonometric functions, graphs, identities, equations, inverse functions, solutions of triangles, complex numbers, polar coordinates, and vectors.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    Amy Pippenger
    		View Rates

    Quantitative Reasoning 10804135

  • 3.00 credits
  • Mathematics

    • This course is intended to develop analytic reasoning and the ability to solve quantitative problems. Topics to be covered may include: construction & interpretation of graphs; descriptive statistics; geometry & spatial visualizations; math of finance; functions and modeling; probability; and logic. Appropriate use of units and dimensions, estimates, mathematical notation, and available technology will be emphasized throughout the course.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates

    Math & Logic 10804133

  • 3.00 credits
  • Mathematics

    • Students will apply problem solving techniques from discrete mathematics. Topics include symbolic logic, sets, algebra and base number systems.

    2 Course Sections
    2 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01VC Fall
    Waitlist
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates
    #02VC Fall
    Open
    10/20/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Oct 20 – Dec 15
    -
    Online
    May Shaw
    		View Rates

    College Algebra W/Apps 10804195

  • 3.00 credits
  • Mathematics

    • This course covers skills needed for success in Calculus and many application areas at the baccalaureate level. Topics include the real and complex number systems, polynomials, exponents, radicals, solving equations and inequalities, relations and functions, systems of equations and inequalities, graphing, and conic sections.

    2 Course Sections
    2 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #02VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    Amy Pippenger
    		View Rates
    #01 Fall
    Open
    08/26/2025 –
    12/16/2025
    		In-Person Wausau Main Campus
    Aug 26 – Dec 16
    Tuesday
    10:00 AM - 12:50 PM
    A208 - Classroom - A Building
    Amy Pippenger
    		View Rates

    Math With Business Applications 10804123

  • 3.00 credits
  • Mathematics

    • This course integrates algebraic concepts, proportions, percents, simple interest, compound interest, annuities, and basic statistics with business/consumer scenarios. It also applies math concepts to the purchasing/buying and selling processes.

    4 Course Sections
    4 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #02VC Fall
    Waitlist
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates
    #03VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates
    #01AYW Fall
    Open
    10/20/2025 –
    12/17/2025
    		Attend Your Way Online Available Wausau Main Campus
    Oct 20 – Dec 17
    Monday
    02:00 PM - 04:50 PM
    A227 - Classroom - A Building
    		View Rates
    #04VC Fall
    Open
    10/20/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Oct 20 – Dec 15
    -
    Online
    		View Rates

    Introductory Statistics 10804189

  • 3.00 credits
  • Mathematics

    • Students taking Introductory Statistics display data with graphs, describe distributions with numbers, perform correlation and regression analyses and design experiments. They use probability and distributions to make predictions, estimate parameters and test hypotheses. They draw inferences about relationships including ANOVA. Keywords: Stats, Intro to Stats, Data

    2 Course Sections
    2 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #02VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    May Shaw
    		View Rates
    #01 Fall
    Open
    08/28/2025 –
    12/11/2025
    		In-Person Wausau Main Campus
    Aug 28 – Dec 11
    Thursday
    10:00 AM - 12:50 PM
    A208 - Classroom - A Building
    May Shaw
    		View Rates

    College Mathematics 10804107

  • 3.00 credits
  • Mathematics

    • This course is designed to review and develop fundamental concepts of mathematics in the areas of algebra, geometry, trigonometry, measurement and data. Algebra topics emphasize simplifying algebraic expressions, solving linear equations and inequalities with one variable, solving proportions and percent applications. Geometry and trigonometry topics include; finding areas and volumes of geometric figures, applying similar and congruent triangles, applying Pythagorean Theorem, and solving right triangles using trigonometric ratios. Measurement topics emphasize the application of measurement concepts and conversion techniques within and between U.S. customary and metric system to solve problems. Data topics emphasize data organization and summarization skills, including: frequency distributions, central tendency, relative position and measures of dispersion. Special emphasis is placed on problem solving, critical thinking and logical reasoning, making connections, and using calculators.

    5 Course Sections
    5 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #03VC Fall
    Waitlist
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    Amy Pippenger
    		View Rates
    #04VC Fall
    Open
    08/25/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Aug 25 – Dec 15
    -
    Online
    Amy Pippenger
    		View Rates
    #01 Fall
    Open
    08/27/2025 –
    12/17/2025
    		In-Person Wausau Main Campus
    Aug 27 – Dec 17
    Wednesday
    09:00 AM - 11:50 AM
    A227 - Classroom - A Building
    		View Rates
    #02AYW Fall
    Open
    10/20/2025 –
    12/17/2025
    		Attend Your Way Online Available Wausau Main Campus
    Oct 20 – Dec 17
    Friday
    09:00 AM - 11:50 AM
    A204 - Classroom - A Building
    Amy Pippenger
    		View Rates
    #05VC Fall
    Open
    10/20/2025 –
    12/15/2025
    		Online Flexible Due Dates Online
    Oct 20 – Dec 15
    -
    Online
    Amy Pippenger
    		View Rates

    Data Visualizations 2 10156117

  • 1.00 credits
  • IT - Data

    • Builds on Data Visualizations 1 and emphasizes choosing proper charts for quantitative and time-series analysis. Learners build effective dashboards and tell effective stories based on audience needs and analytical comfort. Learners contrast the ways in which data visualization can be used to tell truthful and untruthful stories.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    10/06/2025 –
    11/05/2025
    		Online Required Due Dates Online
    Oct 6 – Nov 5
    -
    Online
    J.J. Minarcin
    		View Rates

    Data Mining & Predicitve Analytics 2 10156111

  • 1.00 credits
  • IT - Data

    • Employs RapidMiner, R, and Orange software packages in order to explore text mining using classification algorithms. Uses k-nearest neighbor and decision trees to further explore classification on structured data. Lastly, learners evaluate time series data using forecasting algorithms. Learners demonstrate their findings via PowerPoint and short video presentations.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    10/06/2025 –
    11/05/2025
    		Online Required Due Dates Online
    Oct 6 – Nov 5
    -
    Online
    J.J. Minarcin
    		View Rates

    Business Applications of AI 10156122

  • 1.00 credits
  • IT - Data

    • Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    10/06/2025 –
    11/05/2025
    		Online Required Due Dates Online
    Oct 6 – Nov 5
    -
    Online
    J.J. Minarcin
    		View Rates

    Python For Data Analytics 10156103

  • 1.00 credits
  • IT - Data

    • Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    10/20/2025 –
    12/17/2025
    		Online Required Due Dates Online
    Oct 20 – Dec 17
    -
    Online
    Zachary Thunder
    		View Rates

    Data Mining & Predictive Analytics 3 10156115

  • 1.00 credits
  • IT - Data

    • Employs Python, Excel, R, and other GUI software to explore a variety of algorithms that fall under the umbrella of predictive analytics and data mining. Learners derive meaning from data using neural networks. Learners apply statistical models including linear and logistic regression. Lastly, learners evaluate data using Naïve Bayes and Bayesian Networks. Learners demonstrate their findings via PowerPoint and short video presentations.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    11/10/2025 –
    12/17/2025
    		Online Required Due Dates Online
    Nov 10 – Dec 17
    -
    Online
    J.J. Minarcin
    		View Rates

    Ethics and Implications of AI 10156123

  • 1.00 credits
  • IT - Data

    • Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

    1 Course Section
    1 Course Section
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #01 Fall
    Open
    11/10/2025 –
    12/17/2025
    		Online Required Due Dates Online
    Nov 10 – Dec 17
    -
    Online
    J.J. Minarcin
    		View Rates