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.
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.
Introduce learners to the foundational concepts of data programming in the open-source language R. Learners explore ways to visualize data, examine data structures, and model the relationship between variables using commands in R. Learners incorporate problem-solving and critical thinking skills as they write commands to support their work with data analysis.
Prepares learners to perform basic nursing skills under the supervision of a nurse for job entry as a nursing assistant or a home health aide (HHA) in health care agencies. Face-to-face and hybrid classroom, campus lab and clinical instruction are offered at various nursing homes and hospitals throughout the district. Students need to submit an application and complete background check.
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.
The Nursing Assistant Instructor Train-the-Trainer Program is designed to equip healthcare professionals with the knowledge, skills, and competencies needed to effectively teach and train nursing assistant students. This comprehensive program focuses on adult learning principles, curriculum development, lesson planning, teaching strategies, and student performance evaluation. Participants will also gain expertise in supervising clinical practice and ensuring compliance with state and federal regulations governing nursing assistant education.
Learner must have valid Wisconsin RN license and two years work experience (one year in long-term, home health, or rehabilitation care). This course will meet the state requirement for nurses who wish to become nursing assistant instructors.
