Displaying 1 - 25 of 25 No filters currently applied.

Food Safety & Sanitation Certification 47303476

  • 0.30 credits
  • Foods
  • $109.00

    • This state approved course prepares you for the National Restaurant Association Certification examination from the Department of Health and Social Services by providing managers and employees in the food-service industry the knowledge of food-safety procedures. By taking this state approved course and passing the certification examination, you will be eligible to apply for your Certified Food Manager License from the Department of Health and Social Services. The National Restaurant Association certification examination is the third night of the course. Textbook required from the NTC Bookstore.

    8 Course Sections
    8 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #PD028 Summer
    Open
    06/02/2025 –
    08/22/2025
    		Online Online
    Jun 2 – Aug 22
    -
    Online
    Rich Neumann
    		$109.00
    #PD001 Fall
    Open
    08/25/2025 –
    12/17/2025
    		Online Online
    Aug 25 – Dec 17
    -
    Online
    Rich Neumann
    		$109.00
    #PD002 Fall
    Open
    10/06/2025 –
    10/20/2025
    		In-Person Wausau Main Campus
    Oct 6 – Oct 20
    Monday
    08:30 AM - 12:30 PM
    A165 - WTPD Innovation Classroom A - A Building
    Rich Neumann
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    A111 - Computer Lab - A Building
    Rich Neumann
    		$109.00
    #PD003 Fall
    Open
    10/06/2025 –
    10/20/2025
    		In-Person Antigo Campus
    Oct 6 – Oct 20
    Monday
    08:30 AM - 12:30 PM
    T105 - Classroom - Antigo Campus
    Rich Neumann
    		$109.00
    #PD004 Fall
    Open
    10/06/2025 –
    10/20/2025
    		In-Person Medford Campus
    Oct 6 – Oct 20
    Monday
    08:30 AM - 12:30 PM
    M131 - Classroom - Medford Campus
    Rich Neumann
    		$109.00
    #PD005 Fall
    Open
    10/06/2025 –
    10/20/2025
    		In-Person Phillips Campus
    Oct 6 – Oct 20
    Monday
    08:30 AM - 12:30 PM
    P131 - Classroom - Phillips Campus
    Rich Neumann
    		$109.00
    #PD006 Fall
    Open
    10/06/2025 –
    10/20/2025
    		In-Person Spencer Campus
    Oct 6 – Oct 20
    Monday
    08:30 AM - 12:30 PM
    S101 - Classroom - Spencer Campus
    Rich Neumann
    		$109.00
    #PD007 Fall
    Open
    10/06/2025 –
    10/20/2025
    		In-Person Wittenberg Campus
    Oct 6 – Oct 20
    Monday
    08:30 AM - 12:30 PM
    WITTENBERG - Wittenberg Classroom - Wittenberg Campus
    Rich Neumann
    		$109.00

    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

    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

    Food Safety Recertification Refresher 47303477

  • 0.10 credits
  • Foods
  • $99.00

    • This course prepares students to successfully complete the ServSafe Manager exam with 2 hours of instructor led exam prep and completion of the standardized exam. The course will cover key concepts, regulations, and certification requirements. Note: Due to frequent changes in food safety regulations that are included on the exam, it is strongly recommended that students take the full certification course to ensure successful completion of the exam and license renewal.

    6 Course Sections
    6 Course Sections
    Section Status Start/End Date Register By Instruction Mode Campus Meeting Information Cost
    #PD002 Fall
    Open
    10/20/2025
    		In-Person Wausau Main Campus
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    A165 - WTPD Innovation Classroom A - A Building
    Rich Neumann
    		$99.00
    #PD003 Fall
    Open
    10/20/2025
    		In-Person Antigo Campus
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    T105 - Classroom - Antigo Campus
    Rich Neumann
    		$99.00
    #PD004 Fall
    Open
    10/20/2025
    		In-Person Medford Campus
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    M131 - Classroom - Medford Campus
    Rich Neumann
    		$99.00
    #PD005 Fall
    Open
    10/20/2025
    		In-Person Phillips Campus
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    P131 - Classroom - Phillips Campus
    Rich Neumann
    		$99.00
    #PD007 Fall
    Open
    10/20/2025
    		In-Person Spencer Campus
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    S101 - Classroom - Spencer Campus
    Rich Neumann
    		$99.00
    #PD008 Fall
    Open
    10/20/2025
    		In-Person Wittenberg Campus
    Oct 20
    Monday
    08:30 AM - 12:30 PM
    WITTENBERG - Wittenberg Classroom - Wittenberg Campus
    Rich Neumann
    		$99.00

    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