Business Analyst Fundamentals 10102320

Examines the skills, technologies, methodologies and strategies required to be successful as Business Analyst. Learners will analyze the role of a Business Analyst by exploring and practicing elicitation skills, collaboration techniques, defining stakeholders and project scope, gathering functional and nonfunctional requirements and researching the diverse methods to document and model process specifications. Additional topics to be included are understanding the various tasks, professional strategies, and facilitation methods used by a Business Analyst professional.

Business Analytics 10102204

Examines basic foundations of business analytics. Learners will analyze data sets and uncover important information. Learners will determine relationships among variables, examine probability distributions; apply confidence interval estimation; perform hypothesis testing and regression analysis.

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 Finance 10102202

Analyze key financial principles and their applications in this comprehensive course. Students will explore foundational concepts such as the introduction to finance, corporate structure and governance, and economic foundations including money and interest rates. The course delves into the accrual accounting process, the preparation and interpretation of financial statements, and measures of financial health. Building on this, students will learn to apply the time value of money through single payment value calculations, equal multiple payments, and unequal multiple payment values, equipping them with essential financial analysis tools.

Business Law 1 10102160

Develop an understanding of business organizations, contracts, and sales contracts by reviewing relevant court cases. Emphasizes the importance, meaning, and value of law in everyday lives. Special emphasis is placed on contemporary legal problems that challenge today's society.

Business Management Capstone 10102203

Integrate and apply knowledge from academic studies through a comprehensive evaluation of core curriculum areas such as finance and accounting, economics, marketing, management, and human resources. This course provides an opportunity for students to synthesize their learning across various disciplines, equipping them with the skills needed to analyze and address real-world business challenges.

Business Management Career Preparation 10102206

Apply the skills required to succeed in the business job market. Learners will write business management-targeted resumes/cover letters, complete job applications, perform job searches, participate in mock interviews, self-market using social media, and network with business professionals. Additional topics include creating a targeted cover letter/resume and interview preparation.

Business Requirements And Analysis 2 10102326

Explores the application of business analysis foundational and key concepts. Learners will be able to demonstrate competence in the following business analysis knowledge areas: Strategy Analysis, Requirements Analysis and Design Definition, and Solution Evaluation.  Learners will complete tasks and apply approved business analyst techniques to demonstrate competence. Topics Include: Analyze current state; define future state; assess risks; define change strategy; specific model requirements; verify and validate requirements; define requirements architecture, define design options, analyze potential value and recommend solution; measure solution performance; analyze performance measures; assess solution limitations; assess enterprise limitations; and recommend actions to increase solution value.

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.

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 Business Management 10102205

Introduces the learner to the various skills and tools necessary to be successful in the business management program. Learners will develop skills to assist with readiness for learning concepts in business, soft skills for employment readiness, and technological skills necessary for using various software.

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.

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 10102124

Introduces learners to the evolution of business and entrepreneurship. Learners analyze global, ethical and legal environments of business, explore the human side of business and examine the functional approach to information technology, marketing, human resource management, operations management and finance.

Introduction To International Business 10102201

Introduces the learner to cultural, political, legal, and economic forces and basic concepts of trade, tariffs, exchange rates, capital markets.  Learners will develop the fundamentals for establishing international business enterprises, including trade and investment theory.  Learners examine effects of government intervention and aid and the role of social and economic aid organizations such as the UN, EU, IMF and World Bank.

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.

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.