10-key By Touch 10106144

Introduces proper techniques (proper finger usage and body position) and touch method using a numeric keypad. Learners will develop speed and accuracy to meet industry standards for data entry of 8,000+ ksph. Challenge test available.

Business Applications of AI 10156122

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.

Business Proofreading & Editing 10106104

Develop proper use of punctuation, number usage, capitalization, grammar, word choice and spelling to communicate effective writing and proofreading in a business environment. General Windows and MS Word experience strongly suggested.

Computer Keyboarding 10106178

Introduces keyboarding techniques (proper finger usage and body position) through hands-on touch typing. Learners are introduced to the QWERTY keyboard (alphabet, number and symbol keys).

Data Concepts 1 10156131

Data Concepts 2 10156132

Data Mining & Predicitve Analytics 2 10156111

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.

Data Mining & Predictive Analytics 1 10156109

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.

Data Mining & Predictive Analytics 3 10156115

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.

Data Visualizations 1 10156113

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.

Data Visualizations 2 10156117

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.

Electronic Business Communications 10106170

Identifies the importance of telephone etiquette, knowledge of communication equipment, use of electronic mail and calendaring in the workplace. Learners will apply these techniques with hands-on activities.

Ethics and Implications of AI 10156123

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.

Foundations of Data Engineering 10156124

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.

Foundations Of The Medical Office 10106111

Explores the skills needed to work in a health care office. Learners focus on business office management; communication, reception, appointment scheduling, records management, telephone procedures, daily transactions, medical billing and collecting, insurance and coding basics, composing routine business correspondence and keeping an inventory of supplies.

Introduction to AI 10156121

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.

Introduction To Business Technology Programs 10106189

Introduces the learner to techniques for success in the Business Technology Programs. Learners will examine proper communication etiquette, set and achieve SMART goals, learn engagement opportunities, and establish a program schedule. The course will also address program outcomes, professional development opportunities, and the creation of a portfolio to be developed throughout their program. Through focused activities and assessments, students will be equipped for both academic and career success.

Introduction to Python 10156102

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.

Introduction to R 10156114

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.

Keyboarding 2 10106129

Applies keyboarding techniques (proper finger usage and body position) through hands-on touch typing on a QWERTY keyboard (alphabet, number and symbol keys). Learners are expected to enter this course with a minimum of 27 wpm. Learners will develop an increased rate of touch-typing at a minimum of 40 words per minute (wpm) and 26 npm (numbers) by the end of the course.

Meeting, Travel & Event Planning 10106107

Introduces skills to effectively plan and manage meetings, event pre-planning activities, facilitate meetings and events, produce minutes of meetings, coordinate equipment and facility setup, complete travel arrangements and conduct follow-up activities.

Microsoft Outlook 10106118

Introduces the learner to managing and creating professional business email communication, contacts/groups, appointments, and meeting scheduling within Microsoft Outlook. Learners will further examine and manage the Microsoft Outlook environment for productivity.

Office Internship 10106202

Applies skills developed through business technology program courses and updates career documentation and completes a 45-hour supervised work experience in an office setting applying previously learned skills (business writing; customer service; office software; problem-solving; work organization; team work, and soft skills) related to an office environment.

Office Portfolio 10106201

Evaluate career opportunities and compare to relative skills to prepare appropriate career documentation and a mock interview. Develop a career portfolio and recognize the process of the job search as well as accepting and leaving a position.

Professional Development 10106125

Explores goal setting, business and social etiquette, business grooming and wardrobe, professional ethics, attitudes and standards. Learners will also explore job search strategies, professional growth, successful personal/interpersonal work-related behavior and soft skills.

Python for Data Analytics 10156103

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.

Records Management 2 10106203

Explore records management with further examination into records and information management applying ARMA rules to numeric, subject, and geographic filing methods manually and digitally.