5 courses with the subject BDAT, 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.
Credit(s) 1 credit lecture/1 credit lab This course introduces the concepts of data analysis. Hands-on labs using current industry tools will be used to provide an opportunity to explore the data analysis process.
Credit(s) 2 credits lecture/1 credit lab This course is the intermediate study of computer applications from business productivity software suites for report, document, presentation and information development activities.
Credit(s) 2 credits lecture/1 credit lab This course is designed to develop student proficiency in data management skills for decision making and use of analytic applications. topics include methods and techniques for identification, retrieval, and preparation of data for processing with analytical software. This course demonstrates the skills necessary to effectively organize and retrieve quality data from different data sources for analytic applications. The latest tools and technologies will be used to perform hands-on labs.
Credit(s) 4 credits Lecture/1 credit Lab This introductory course equips students with essential skills to transform data into meaningful visuals. Starting with fundamental principles and common visualization types, students learn how to match different data types to appropriate visualization techniques. Basic design principles, such as color and layout, are covered to ensure clarity and impact. Students will also gain hands-on experience in cleaning and organizing data for visualization using industry standard tools. The course emphasizes storytelling with data to convey insights effectively and covers how to interpret and evaluate visualizations responsibly, including recognizing potential biases and ethical concerns.
Credit(s) 2 credits lecture/1 credit lab This course will provide an introduction to performance measurement tools designed to capture relevant data from all segments of an organization. It will include topics of planning and organizing data into a coherent structure and output that can be used for strategic decision processes. Hands-on labs will be used to enhance student learning.
Source: Anoka Technical College's catalog, linked per course · table learning_unit · CourseShelf publish 61
