The course provides a foundation for designing database systems and analyzing business data to enhance firm competitiveness. Concepts introduced in this course aim to develop an understanding of the different types of business data, various analytical approaches, and application of these approaches to solve business problems. Students will have hands-on experience with current, cutting-edge tools such as MySQL, MongoDB and R.
Course goals
- Articulate the key components of an organizations’ information infrastructure.
- Create data models based on business rules.
- Create a transactional database from a model using SQL.
- Create an analytical data store by extracting relevant data from a transactional database.
- Perform extract, transform, load (ETL) functions such as data sourcing, pre-processing, and cleansing.
- Discover trends in analytical data stores using the data mining techniques of clustering, segmentation, association mining, and decision trees.
- Present data visually for clear communication to a managerial audience.
Course information
- Course name: Data Analytics
- Course number: MIS 2502 (CRN 19394)
- Credit hours: 3
- Pre or co-requisites (if any): Grade of C or better in MIS2101
- Day and time: MWF, 9:00 am – 9:50 am
- Location: Alter 606
Important information
Disability Accommodations
Any student who has a need for accommodation based on the impact of a documented disability, including special accommodations for access to technology resources and electronic instructional materials required for the course, should contact me privately to discuss the specific situation by the end of the second week of classes or as soon as practical. If you have not done so already, please contact Disability Resources and Services (DRS) at 215-204-1280 in 100 Ritter Annex to learn more about the resources available to you. I will work with DRS to coordinate reasonable accommodations for all students with documented disabilities.
Student and Faculty Academic Rights and Responsibilities
Freedom to teach and freedom to learn are inseparable facets of academic freedom. Please review the university policy on Student and Faculty and Academic Rights and Responsibilities (Policy #03.70.02).
Technology Usage
The use of technology is an important aspect of this course. Please review the Temple University Technology Usage Policy.