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COMP 4254 - Advanced Topics in Data Analytics

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

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.

Prerequisite(s)

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

Credits

3.0

Cost

$603.70

Winter 2020

Below is one offering of this course for the Winter 2020 term.

CRN 85466

Tue Jan 07 - Tue Mar 24 12 Weeks

Class Meeting Times

Dates Days Times Locations
Jan 07 - Mar 24 Tue 18:00 - 21:00 DTC Rm. 375

Instructor

Hessam Teimouri

Course Outline

Cost

$603.70

Notes

  1. “You are responsible for the specific prerequisite knowledge for this course. Your instructor cannot be expected to review prerequisite materials so please do not ask. The department could withdraw you from this course if you do not have the prerequisites or equivalent. Late registration is not permitted.

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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The personal information on this form is collected under the authority of the College and Institute Act (RSBC 1996, Ch.52). BCIT will use this information to communicate with you regarding relevant BCIT programs, courses and services. This information is only used by authorized BCIT staff. Email communication sent to and from BCIT is routed through the United States of America. If you have any questions about BCIT's collection and use of this information, please contact BCIT’s manager of Information Access and Privacy.

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Registration is currently open for the Winter 2020 term.

The sneak preview for the Spring/Summer 2020 term starts Fri, Feb 14 at 8:30 am (PST).

Students may register for Spring/Summer 2020 term courses online, by phone, mail or in-person starting Wed, Feb 19 at 9:00 am (PST).

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