CIND 110 - Data Organization for Data Analysts
Course DescriptionThis course provides a foundation in data management for data analysts. Topics include database architectures, formation of queries, queries themselves, data warehousing, relational database systems, NoSQL, and responsibilities of data management professionals.
What Will You Learn?
This course provides database skills in the application of knowledge transfer, advanced critical thinking, research application, and report writing with respect to big data and data analytics.
Learn how to:
- Use a practical procedural language to define, construct, manipulate, share, and protect a structured database.
- Reverse and Forward engineer a database to create valid logical models and migratable snapshots.
- Manipulate the basic components of a relational model, its entity/referential integrity constraints, and update operations.
- Extract data from data and document-centric databases (for example, XMLs and JSONs) using XPATH and XQuery expressions.
- Differentiate between database and information retrieval systems.
- Index, search and retrieve information from large collection of unstructured documents using statistical approaches.
- Use data mining techniques, such as association rules, sequential patterns, and classification trees for big data analyses.
Students are recommended to check the important dates for the Chang School current term before enrolling in the course and paying the fees. Notably, the Azure Virtual Desktop assigned to students will be accessible two days after the course’s starting date, and swapping between sections will not be permitted.
Students are also encouraged to download the Microsoft Remote Desktop app to access the software needed to complete this course’s requirements. Students also need to test the compatibility of the computer they plan to use before the first session, as machines operated using a third-party administrator, such as laptops provided by a workplace, may not allow access to the required software/download(s). International students might need to use their virtual private network (VPN) software if they cannot connect to University resources.
This course offers on-campus section(s) for the 2022/23 academic year. On-campus sections are identified in each section's detail summary as “Classroom” (and/or “Downtown” as the location). Visit COVID-19 Updates for Chang School Students for the most up-to-date guidance on attending on-campus classes.
- Data Analytics, Big Data, and Predictive Analytics : Required Courses