DATA-100 Spreadsheet Software (1 Credits)
Introduction to the use of spreadsheet software to manage and present data. Data entry, editing and formatting, relative and absolute addressing, formulas and built-in functions, sorting, database features, graphing, presentation quality output. Uses Microsoft Excel spreadsheet software.
DATA-100TR Transfer Elective (1-12 Credits)
DATA-101 Introduction to Data Analysis (4 Credits)
(Q) The course objective is to ensure that students gain knowledge and skills to gather, store, and manipulate data to conduct an analytical study including describing events that have already occurred, utilizing predictive and prescriptive analytical approaches, and exploiting the results. Topics include an overview of business analytics, decision support systems, business intelligence, data science, artificial intelligence, data mining, predictive analytics, prescriptive analytics, big data, and ethics. Spreadsheet and data analytics software are utilized.
DATA-200TR Transfer Elective (1-12 Credits)
DATA-299 Directed Study (1-2 Credits)
DATA-300TR Transfer Elective (1-12 Credits)
DATA-331 Data Engineering (4 Credits)
The study of the data engineering landscape. The course will apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. Prerequisites: DATA 101 and one course from BUSN-211, MATH-130, MATH-330, PSYC-240 or SOAN-227. Minimum grade of C in all prerequisites.
DATA-332 Applied Business Analytics (4 Credits)
The course provides comprehensive coverage of data analytics concepts, techniques and tools used in the process of data-driven business decision-making. Students will gain hands-on experience with a variety of analytical models and tools and apply them to datasets in a variety of industries. Prerequisites: DATA-331 with a minimum grade of C.
DATA-340 Data Mining (4 Credits)
The course objective is to ensure that students gain knowledge and skills to recognize opportunities for data mining approaches and exploit the results. The course utilizes an applied approach to data mining concepts and methods including specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data. The course also covers applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. Prerequisites: CS 201, DATA 101, DATA-331 and one course from BUSN-211, MATH-130, MATH-330, PSYC-240 or SOAN-227. Minimum grade of C in DATA-101
DATA-360 Practicum in Data Science (4 Credits)
The course objective is to ensure that students gain knowledge and skills to manage and implement an analytics project. This project-based course will engage students in the complete life-cycle of a data analysis project, including: identifying data sources/acquiring data, importing and transforming data formats, data cleaning/wrangling, exploratory analysis, quantitative analysis, visualization, and communication of findings. A variety of data analytics software packages are utilized. NOTE: DATA 360 and 490 will meet jointly; however the DATA 360 project component will utilize a published case and the DATA 490 project component will utilize actual projects provided by firms. Prerequisites: DATA 101, CSC 201, and one of BUSN 211, MATH 330, PSYC240, SOAN 227. Minimum grade of C in DATA-101.
DATA-490 Senior Inquiry (4 Credits)
The course objective is to ensure that students gain knowledge and skills to manage and implement an analytics project. This project-based course will engage students in the complete life-cycle of a data analysis project, including: identifying data sources/acquiring data, importing and transforming data formats, data cleaning/wrangling, exploratory analysis, quantitative analysis, visualization, and communication of findings. A variety of data analytics software packages are utilized. NOTE: DATA 360 and 490 will meet jointly; however the DATA 360 project component will utilize a published case and the DATA 490 project component will utilize actual projects provided by firms. Prerequisites: DATA 101, CSC 201, and one of BUSN 211, MATH 330, PSYC240, SOAN 227. Minimum grade of C in DATA-101.
DATA-INTR Core Internship (0-12 Credits)