Course DescriptionThis course is intended to engage students in hands-on applications of big data analytics methods and techniques in a project setting. Working with a faculty supervisor, students will apply big data analytics in respect to their real-world area of interest by using open source data.
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.
Students registered in this course are permitted to enrol in the first two courses (CIND 719 Big Data Analytics Tools and/or CIND 840 Practical Approaches in Machine Learning) of the Practical Data Science and Machine Learning Certificate, which builds on the accumulated quantitative knowledge accomplished in the Data Analytics, Big Data, and Predictive Analytics Certificate. To obtain a permission waiver, please email firstname.lastname@example.org.
RequisitesPrerequisite: IND405 or CMTH642
- Data Analytics, Big Data, and Predictive Analytics : Required Courses