4 courses with the subject BDA, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
BDA 105Business Systems Applications3
Students will have the opportunity to analyze business case studies and use several business software packages such as MS Excel, MS Access, QuickBooks, MS Word, and Adobe Creative Suite. Class will include analysis and creation of accepted business forms and presentations, as well as an integration of business theory into practical application in the form of presentation(s). This course satisfies the computer literacy skills requirement in the General Education curriculum (see pages 63-64).
BDA 205Statistical Applications in Data Analytics3
In this course, you will build upon your prior knowledge in mathematical and quantitative reasoning and apply them in professional settings. You will be introduced to quantitative methods used in analyzing business situations. Descriptive statistics and probability, probability distribution, statistical inference, regression analysis, are covered from a practical and conceptual standpoint and applied to common organizational procedures and data reports. Prerequisite: MAT 105 or satisfactory score on the Math Placement Test. (Offered when interest is expressed and departmental resources permit.)
Data analytics is a survey study of the role of analytics and its strategic application in the business and organizational environment. The analysis of big data has applications across the spectrum of business, social science, politics, urban planning, and medical fields. Analytic solutions help organizations maximize the value of their data, unearth insights, build plans, and respond in real-time to customer demand. Students will come to appreciate the importance of customer-centric management and tools for understanding and predicting the behavior of customers. (Offered when interest is expressed and departmental resources permit.)
Data analysts are faced with an overwhelming variety of sources and types of data that can aid in decision making. The key to making good use of the data lies in knowing what to pay attention to the relationships in the data and making the right connections. Understanding the appropriate statistical methods to deploy will provide you with a significant advantage over relying on gut instinct alone. In this course you will learn to identify uncertainty in a business decision, and to choose variables that help reduce uncertainty
