Python Programming Introduction

Aim of Course: The goal of this course is to introduce the basics of programming in Python, on either Windows or Mac.  You will use both Jupyter notebooks and standard script editors, and work through simple arithmetic operations, statistical operations, variables, keywords, lists, arrays, and dictionaries.  You'll use conda to install modules and close with some data visualizations.
Course Program:

WEEK 1:  Installation of Python on Window and Mac platforms

  • Verification that Anaconda Python is properly installed
  • Verification that the Jupyter notebook is working properly
  • Using the Jupyter notebook environment
  • Creating Jupyter notebooks and using Python editors

WEEK 2:  Python Programming with the Jupyter notebook - the basics of programming
  • Introduction to variables, strings, and numerics
  • Simple arithmetic and the order of operations
  • Working with strings
  • Lists and loops
  • Writing simple Python scripts

WEEK 3:  More programming basics with the Jupyter notebook
  • Functions, if statements and conditional expressions
  • Introduction to dictionaries
  • While loops, error trapping, and data input
  • Writing intermediate Python scripts

WEEK 4:  Python packages and Conda
  • Data input from a text file
  • Using conda to install additional Python packages as needed
  • A brief introduction to pandas and matplotlib for data analysis and visualization
  • Putting it all together and recommendations for further study

Homework in this course consists of programming exercises

Python Programming Introduction

Who Should Take This Course:
This course is for programming novices who want to learn Python.
Organization of the Course:

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Time Requirement:
About 15 hours per week, at times of  your choosing.

 Options for Credit and Recognition:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
  1. No credit - You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
  2. Certificate - You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
  3. CEUs and/or proof of completion - You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course,  CEU's and a record of course completion will be issued by The Institute, upon request.
  4. Digital Badge - Courses evaluated by the American Council on Education have a digital badge available for successful completion of the course.  
  5. Other options - Specializations, INFORMS CAP recognition, and academic (college) credit are available for some courses

Course Text:
All materials will be provided.
Python with Jupyter notebook.


January 17, 2020 to February 14, 2020 April 03, 2020 to May 01, 2020 July 31, 2020 to August 28, 2020 November 27, 2020 to December 25, 2020

Python Programming Introduction


January 17, 2020 to February 14, 2020 April 03, 2020 to May 01, 2020 July 31, 2020 to August 28, 2020 November 27, 2020 to December 25, 2020

Course Fee: $549

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We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

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