Course Description

Take your Python programming skills to the next level by learning to develop Python code for data analysis. Python is used to shape data for analysis, apply techniques to analyze statistics, and use data to make informed business decisions.

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Course Details

Through an introduction to Python libraries, students will focus on writing Python code specifically for data manipulation, processing and analysis.

This course is designed for intermediate-level Python programmers as well as software developers, data engineers and data scientists.

Course Level Learning Outcomes

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

  • Design a systematic strategy to examine, manage and analyze data sets in a specific domain
  • Manipulate, process, clean and crunch data using data sets
  • Write code for data analysis using the Python language
  • Demonstrate proficiency using basic Python maths and sciences libraries
  • Perform fast mathematical and logical operation on large data sets
  • Convert, manipulate and rearrange file text data into data sets format for data analysis
  • Transform data sets to different forms for financial and economical analytical applications

Topics of Instruction

  • Introduction to Python maths and sciences libraries for data analysis
  • Multidimensional array and vectorized arithmetic operations between arrays
  • Introduction to data structures and analysis in Python
  • Manipulate, transform and rearrange data sets to different forms for data analysis
  • Introduction to time series tools and file input/output objects
  • Introduction to financial and economic data applications

Enrol Now - Select a section to enrol in

Online Synchronous
6:00PM to 9:00PM
Feb 26, 2020 to Mar 25, 2020
Online Synchronous
9:00AM to 12:00PM
Feb 29, 2020 to Mar 28, 2020
Schedule and Location
Delivery Options
Course Fees
Fee Before GST non-credit $825.00
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 Adobe Connect (AC) web conferencing software. The instructor will post your course outline and other materials in D2L. If you are unfamiliar with the D2L and AC learning tools it is recommended to take BMC 352 Learning Online prior to enrolling in this course. For more information about D2L, please visit our Online Learning Resources.

Unless notified, all online courses are available one 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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