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.

Introduces collaborative computing solutions from the user, developer and administrator perspectives. Learners will create a needs assessment, develop a project plan and implement a collaboration solution. Additional topics include workflows, the telecommuting workplace, remote work environments and real-time accessibility.

Introduces students to foundational concepts of data, information, and data management. Learners identify and use different types of data models. Learners use Microsoft Visio to create diagrams that illustrate how entities are related. Additional topics include eliminating data redundancy, explaining structures of relational tables, and compiling a data dictionary.

Learners describe primary keys and how to select them. Learners explain normalization and its role in the database design process. Learners apply normalization rules to evaluate and correct table structures. Learners use SQL Server and retrieve information from data tables. Learners use to SQL queries to join tables, aggregate data, and restrict data retrieval.

Create database models and database objects using T-SQL statements. Learners use data manipulation language (DML) to modify and create data. Learners manipulate the structure of existing tables to add, modify, and remove columns and constraints. Additional topics include foreign key relationships and indexes.

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

Examines the basic accounting principles and procedures for those individuals who will work with accounting information, accountants, and in a business related setting. The learner will identify the accounting cycles, prepaid expenses, accruals, merchandise inventory, uncollectible accounts, and depreciation. The course is not intended as an in-depth study of accounting.

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

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.