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Python Fundamentals for Data Analysis COMP 2454

Computer Systems Course

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)

Credits

1.5

Cost

$352.69 - $370.16 See individual course offerings below for actual costs.

Course offerings

Winter 2023

Below are three offerings of COMP 2454 for the Winter 2023 term.

CRN 87361

Duration

Sat Feb 25 - Sat Apr 01 (6 weeks)

  • 6 weeks
  • CRN 87361
  • $370.16
Class meeting times
Dates Days Times Locations
Feb 25 - Apr 01 Sat 09:00 - 12:00 Downtown DTC Rm. 410
Instructor

Lei Zhang

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Cost

$370.16

Important information
  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 18 hours on campus. Late registration is not permitted.
Status

CRN 88218

Duration

Fri Jan 13 - Fri Feb 17 (6 weeks)

  • 6 weeks
  • CRN 88218
  • $352.69
Class meeting times
Dates Days Times Locations
Jan 13 - Feb 17 Fri 18:00 - 21:00 Online
Instructor

Lei Zhang

Course outline

View

Cost

$352.69

Important information
  1. Internet delivery format.
  2. Departmental approval needed
  3. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  4. Please email cstpts@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

In Progress

This course offering is in progress. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.

CRN 88219

Duration

Fri Feb 24 - Fri Mar 31 (6 weeks)

  • 6 weeks
  • CRN 88219
  • $370.16
Class meeting times
Dates Days Times Locations
Feb 24 - Mar 31 Fri 18:00 - 21:00 Downtown DTC
Instructor

TBD

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Cost

$370.16

Important information
  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 18 hours on campus. Late registration is not permitted.
Status

Cancelled

This course offering has been cancelled. Please check this page for other currently available offerings, 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:

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.