- 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 hands-on course follows on from COMP 1630 and was designed to introduce Python as a tool for data analytics. Students must have prior database systems and Structured Query Language (SQL) programming, plus have basic Excel spreadsheets skills before registering for this course. Participants must provide their own current model PC with a minimum of an i5 or equivalent processor, 8 GB of RAM and 256 GB storage capable of running Windows 10 or above. High-speed internet access is needed for online sections and homework. BCIT does not provide technical support for student's hardware or operating systems. Starting with an overview of the Python IDE, participants will explore foundational Python programming concepts. Participants are introduced to Variables, Conditions, Operators, Loops, Functions, Arrays, Dictionaries and DataFrames. Exercises and labs explore data analysis using simple statistics with Python. Students are also introduced to string manipulation, Regression, Aggregation, and object-oriented structures with Python used in data analysis. Students are shown how to use Python for basic graphing. COMP 2454 is a required course in the Applied Data Analytics Certificate, ADAC from BCIT Computing. Upon completion successful students will use Python to perform exploratory data analysis and as preparation for data modeling.
Prerequisite(s)
- 60% in COMP 1630
Credits
1.5
Domestic fees
$372.56 - $391.13 See individual course offerings below for actual costs.
Course offerings
Spring/Summer 2024
Below are two offerings of COMP 2454 for the Spring/Summer 2024 term.
CRN 66584
Duration
Fri Apr 12 - Fri May 17 (6 weeks)
- 6 weeks
- CRN 66584
- Domestic fees $391.13International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 12 - May 17 | Fri | 18:00 - 21:00 | Downtown DTC Rm. 552 |
Instructor
Lei Zhang
Course outline
Domestic fees
$391.13
Important information
- Departmental approval needed
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours on campus. This 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. 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.
CRN 66844
Duration
Fri May 24 - Fri Jun 28 (6 weeks)
- 6 weeks
- CRN 66844
- Domestic fees $372.56International fees are typically three times the amount of domestic fees.
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| May 24 - Jun 28 | Fri | 18:00 - 21:00 | Online |
Instructor
Lei Zhang
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Domestic fees
$372.56
Important information
- Internet delivery format.
- Departmental approval needed
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
- International fees are typically three times the amount of domestic fees. Exact cost will be calculated upon completion of registration.
-
Please email cstflex@bcit.ca for Departmental approval. Include your Student number (A0#) and COMP__ and preferred CRN __ and Program Declaration____. Course is 18 hours synchronous online classes. Late registration is not permitted.
Status
Full
This course offering is full. 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:
- Install and set-up Python IDEs.
- Describe fundamental programming concepts using Python.
- Explain how to use and choose appropriate Python data structures.
- Implement fundamental code structures and logic for data analysis using Python.
- Use Python to load, manipulate and prepare structured and unstructured data for modeling.
- Perform exploratory data analysis using Python.
- Report on data using text based and visual statistical summaries using Python.
Effective as of Fall 2021
Related Programs
Python Fundamentals for Data Analysis (COMP 2454) 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
- Applied Data Analytics
Certificate Part-time
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