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COMP 4254 - Advanced Topics in Data Analytics

Undergraduate Studies
Professor / Instructor
Ilya Ganelin
January 13 - March 31

This is the final course for the Applied Data Analytics Certificate (ADAC) from BCIT Computing and assumes students have completed both MATH 3060 and COMP 2854 prior to this course. Building on statistics, data mining, Python for Data Analysis and visualization techniques, students who have completed the core requirements of ADAC will be able to integrate these advanced topics into a data analytics project. Participants are introduced to emerging sources of digital mapping data, data standards, mapping compilation procedures, mapping systems, plus an introduction to cartography tools and techniques in data analytics and Big Data. Labs and exercises use Excel, Python and Apache Spark for data mining with a focus on Business Intelligence and Big Data. Discussions also include NoSQL databases, and Hadoop. Students learn to work with a variety of structured and unstructured data sources to model, analyze and visualize data. Upon successful completion, participants will be able to present an advanced data analytics project start-to-finish. Prerequisite(s)
COMP 2256 and COMP 2454 and COMP 2854 and COMP 3840 and MATH 3060

You are applying for a $500 scholarship towards a qualifying course at one of our post-secondary education partners: BCIT, Northeastern University, SFU or UBC. Applicants must be either Canadian Citizens, BC permanent residents or working towards obtaining one of these.

Please only apply for this scholarship once you have been enrolled or waitlisted in an applicable course. We will be confirming all student details with instructors.

Apply for Scholarship

To be eligible for this scholarship, you must be a woman (or identify as a woman), and currently live in BC, Canada. Do you meet both of these criteria?