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Important Notice: COVID-19 Institute response

BCIT

COMP 4254 - Advanced Topics in Data Analytics

Computer Systems Part-time Studies Course

School of Computing and Academic Studies

BCIT is planning for a substantial return to on-campus activity for the fall 2021 term as informed by BC Public Health Officer guidelines. Refer to each course listing for details.

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 and students can expect a minimum of 3 hours per week online in real time via the BCIT Learning Hub plus using two-way audio and video. 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, Python, 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 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)

COMP 2454 and COMP 2854 and MATH 3060

Credits

3.0

Cost

$615.70

Spring/Summer 2021

Below is one offering of this course for the Spring/Summer 2021 term.

CRN 65473

Mon May 03 - Mon Jul 26 12 Weeks

Class Meeting Times

Dates Days Times Locations
May 03 - Jul 26 Mon 18:00 - 21:00 Online Delivery
See Notes below

Instructor

Pat McGee

Course Outline

Cost

$615.70

Notes

  1. Departmental approval needed
  2. Please email cstpts@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 36 hours synchronous remote classes. No class May 24 (Victoria Day). Please sign in to the Learning Hub (learn.bcit.ca) on the course start date and time (not before) for details on how the course will be delivered online. 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 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

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 Spring/Summer 2021 term.

The sneak preview for the Fall 2021 term starts Fri, May 21 at 8:30 am (PDT).

Students may register for Fall 2021 term courses online or by phone starting Wed, May 26 at 9:00 am (PDT).

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