CIND 110 - Data Organization for Data Analysts
Course Description
This 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.
Notes
The deadline to enroll in CIND110 for Spring term is May 2, 2022.
The deadline to enroll in CIND110 for Summer term is June 21, 2022.
Students will also not be allowed to swap between sections of the Data Analytics courses after the above date.
You must download the X2Go Client in order to access the software needed to complete the requirements for this course. Prior to your first class, you are strongly advised to test the computer you plan to use, 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 should use their own virtual private network (VPN) software to connect to University resources.
Relevant Programs
- Data Analytics, Big Data, and Predictive Analytics : Required Courses