CIND 119 - Introduction to Big Data
Course Description
This course is designed to give students an overview of big data, state of the practice in analytics, the role of the data scientist, big data analytics in industry verticals, and analytics life-cycle as an end-to-end process. It focuses on key roles for a successful analytic project, main phases of the life-cycle, developing core deliverables for stakeholders, team work skills, and problem solving skills.What Will You Learn?
This course provides a technical foundation with skills in critical thinking, knowledge extension and transfer, research application, and report writing with respect to big data and data analytics.
Learn how to:
- Engage in machine learning using Weka and IBM Watson.
- Employ appropriate statistical tests to test hypotheses on data.
- Implement machine learning algorithms both in supervised and unsupervised learning.
- Utilize relational database management systems, NoSQL and Hadoop databases.
- Produce relevant visualizations from data.
Notes
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.
Classroom Delivery
This course offers on-campus section(s) for the academic year. On-campus sections are identified in each section's detail summary as “Classroom” (and/or “Downtown” as the location).
Relevant Programs
- Data Analytics, Big Data, and Predictive Analytics : Required Courses
- Health Informatics : Electives (select 3)