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Advanced Topics in Data Analytics COMP 4254

Computer Systems Course

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International Fees

International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.

Course details

This is the final course and project for the Applied Data Analytics Certificate (ADAC) from BCIT Computing. Students must have completed all specific prerequisites in order to register. COMP 4254 is built on top of: Python Fundamentals for Data Analysis, Data Analytics Fundamentals, and Advanced Statistical Techniques for Data Analytics. Students must have experience using data visualization tools, be able to use R and apply statistical methods with algorithms in order to develop their final project. COMP 4254 is a BYOD (bring your own device) course, participants must provide their own current model PC with an i5 or higher equivalent processor, 8 GB of RAM minimum, 256 GB minimum storage and high-speed internet access. Participation is mandatory. Attendance is required during scheduled class hours and students should expect an additional 10+ hours for reading and homework each week. Building on statistics for data mining, students will make use of previous tools and technologies used through out the program. A combination of R, or Python, and Data Analysis tools and visualization techniques will be integrated into an advanced data analytics project. There is an introduction to data analytics techniques with Big Data. Labs and exercises use Python and Apache Spark for data mining with a focus on Business Intelligence and Big Data. Participants will work with a variety of structured and unstructured data sources to model, analyze and visualize data. Upon successful completion of COMP 4254 students will be able to develop an advanced project from start-to-finish which includes data preparation, Business Intelligence and an in-depth analysis on a broad range of data sources.

Prerequisite(s)

Credits

3.0

Domestic fees

$666.59

Course offerings

Spring/Summer 2024

Below is one offering of COMP 4254 for the Spring/Summer 2024 term.

CRN 65473

Duration

Fri Apr 12 - Fri Jun 28 (12 weeks)

  • 12 weeks
  • CRN 65473
  • Domestic fees $666.59
    International fees are typically three times the amount of domestic fees.
Class meeting times
Dates Days Times Locations
Apr 12 - Jun 28 Fri 18:00 - 21:00 Downtown DTC Rm. 300
Instructor

Pat McGee

Course outline

View

Domestic fees

$666.59

Important information
  1. Departmental approval needed
  2. International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
  3. Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 36 hours on campus. Late registration is not permitted.
Status

In Progress

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

Learning Outcomes

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

  • Use current technologies to access traditional databases and Big Data.
  • Apply machine learning techniques for data analytics.
  • Create models for data analytics.
  • Compare and contrast the effectiveness of different tools for different data analytics problems.
  • Create an effective variety of visualizations for exploration, statistical validation and reporting.
  • Apply data mining techniques for knowledge extraction in Python.
  • Conduct predictive and prescriptive analytics with Big Data.
  • Work with data lakes using unstructured data sources and Apache Spark.
  • Model and analyze data from distributed sources, both structured and unstructured.
  • Apply tools and methods to address challenges in obtaining, cleaning and analyzing large disparate data sources.
  • Develop an advanced data analytics project.

Effective as of Spring/Summer 2021

Related Programs

Advanced Topics in Data Analytics (COMP 4254) is offered as a part of the following programs:

  • Indicates programs accepting international students.
  • Indicates programs with a co-op option.

School of Computing and Academic Studies

  1. Applied Data Analytics
    Certificate Part-time

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.

Programs and courses are subject to change without notice.