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COMP 4254 - Advanced Topics in Data Analytics

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

To support you and your education, BCIT is adapting applied learning in formats appropriate to the unfolding global situation. All PTS classes are being delivered in an online format unless you are notified otherwise.

Course Details

​In order to register in COMP 4254 students must have completed all prerequisites. 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.


COMP 2256 and COMP 2454 and COMP 2854 and COMP 3840 and MATH 3060





Winter 2021

Below is one offering of this course for the Winter 2021 term.

CRN 85466

Wed Jan 13 - Wed Mar 31 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 13 - Mar 31 Wed 18:00 - 21:00 Online Delivery
See Notes below


Ilya Ganelin

Course Outline




  1. Departmental approval needed
  2. Please email for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Late registration is not permitted. Please sign in to the Learning Hub on the course start date for details on how the course will be delivered online. This course is part of the Athena Pathways project for Canadian women who may apply for a $500 tuition scholarship:

This course offering is in progress. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

In Progress

Learning Outcomes

Upon successful completion of this course, the student will be able to:

  • Use emerging technologies to manage and access Big Data.
  • Apply artificial intelligence techniques for data analytics.
  • Create advanced models for data analytics.
  • Compare and contrast the effectiveness of different tools for different data analytics problems.
  • Create effective data visualization using advanced techniques.
  • Apply data mining techniques for knowledge extraction in Excel and Python.
  • Conduct predictive and prescriptive analytics with Big Data.
  • Work with data lakes using NoSQL databases and Apache Spark.
  • Use integration tools to model and analyze data from disparate sources, both structured and unstructured.
  • Describe the roles of emerging tools in addressing data challenges.

Effective as of Fall 2017

Related Programs

COMP 4254 is offered as a part of the following programs:

School of Computing and Academic Studies

  1. Applied Data Analytics
    Part-time   Certificate

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Registration is currently open for the Winter 2021 term.

The sneak preview for the Spring/Summer 2021 term starts Fri, Feb 19 at 8:30 am (PST).

Students may register for Spring/Summer 2021 term courses online or by phone starting Wed, Feb 24 at 9:00 am (PST).

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