Course Description

Python for Data Analysis

Through an introduction to Python libraries, students will focus on how the Python programming language can be specifically used for data manipulation, processing and analysis, and visualization.

To be successful in this course, knowledge of the Python programming language is required.

NOTE: Formerly ICT 782 Python Level 2: Python for Data Analysis. Students who successfully completed ICT 782 are exempt from taking ICT 779 Python for Data Analysis.

Course Details

Python is more than just a programming language. Its flexibility and open sourced language make Python a valuable tool to analyze statistics and shape data for analysis to make informed business decisions.

See also:

Course Level Learning Outcomes

By completion of this course, successful students will be able to:

  • Design a systematic strategy to examine, manage, and analyze datasets in a specific domain
  • Utilize a variety of the Python libraries for performing data analyses
  • Prepare data for analysis by effectively combining, cleaning, and transforming datasets
  • Import, export, and convert data contained in various file types
  • Represent data and analysis results visually and graphically
  • Identify use cases for classification and regression techniques

Topics of Instruction

  • Introduction to Numerical Python (NumPy), Python Data Analysis Library (pandas), and SciKit-Learn (sklearn)
  • Vectorized functions for fast array-based computation
  • File input/output for various file types
  • Combining, cleaning, and transforming datasets
  • Plotting and data visualization with Matplotlib
  • Introduction to statistical analysis: classification and regression


Students who successfully completed ICT 781 Python Level 1 are exempt from taking ICT 778 Python Foundations.



  • A minimum of 6 months experience in Python programming.

Applies Towards the Following Program(s)

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Online Synchronous
T, Th
6:00PM to 9:00PM
Jun 25, 2024 to Jul 25, 2024
Schedule and Location
Delivery Options
Course Fees
Flat Fee non-credit $829.00
Reading List / Textbook
No Required Textbook.
Section Notes

Classes are held online in real time (Mountain Time) at the specified time and dates.:

You will require access to a computer with the required software, Internet connection, a headset with speakers and microphone, webcam, and a monitor large enough to display multiple applications (or the use of two monitors).

This course uses Desire2Learn (D2L), an online learning management system, and Zoom web conferencing software. The instructor will post your course outline and other materials in D2L. For more information, please visit our Online Learning Resources.

Unless notified, all online courses are available at 9 am MT the day before the start date. Students who register on (or after) the start date will receive access within one day of registration.

Unless otherwise stated, notice of withdrawal or transfer from a course must be received at least seven calendar days prior to the start date of the course.


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