Welcome to CS105: Introduction to Python

Specific information about this course and its requirements can be found below. For more general information about taking Saylor Academy courses, including information about Community and Academic Codes of Conduct, please read the Student Handbook.

Course Description

Learn fundamental programming concepts using the Python 3 programming language, a high-level interpreted language that is easy to read and write, with powerful libraries that provide additional functionality.

Course Introduction

This course is an introduction to fundamental programming concepts by way of the Python 3 programming language. Python 3 is a high-level interpreted language that has many benefits, including easy-to-read and easy-to-write syntax and powerful libraries that provide additional functionality. Even though Python 3 is a great programming language for beginners, it is also used extensively for practical applications in engineering and data science. This course is intended for people with no or very little prior programming experience. It covers a range of topics, such as data types, control flow, functions, file operations, and object-oriented programming. When you finish this course, you will be able to create Python programs for a variety of applications.

This course includes the following units:

  • Unit 1: Introduction to Python 3
  • Unit 2: Operators
  • Unit 3: Input and Flow Control Statements
  • Unit 4: Data
  • Unit 5: Functions
  • Unit 6: Basic Data Structures II – Tuples, Sets, and Dictionaries
  • Unit 7: File Handling
  • Unit 8: Regular Expressions
  • Unit 9: Exception Handling
  • Unit 10: Object-Oriented Programming (OOP)

Course Learning Outcomes

Upon successful completion of this course, you will be able to:

  • Write Python programs within an Integrated Development Environment (IDE);
  • Explain and apply the basic variable types int, float, str, and bool;
  • Apply operators and operator precedence;
  • Write programs that apply control structures, lists, strings, sets, tuples, and dictionaries;
  • Write programs that import libraries for a variety of applications, such as random numbers and data visualization;
  • Write interactive programs that ask for and use input from the user;
  • Write programs that use functions and methods;
  • Apply data visualization tools for basic data analysis;
  • Translate search terms into regular expressions;
  • Handle errors and exceptions in Python programs by using try, except, and finally statements; and
  • Use object-oriented programming and object methods to write code that is easy to read and maintain.

Throughout this course, you will also see learning outcomes in each unit. You can use those learning outcomes to help organize your studies and gauge your progress.

Course Materials

This course's primary learning materials are articles, lectures, and videos.

All course materials are free to access and can be found in each unit of the course. Pay close attention to the notes that accompany these course materials, as they will tell you what to focus on in each resource and will help you understand how the learning materials fit into the course as a whole. You can also see a list of all the learning materials in this course at this link.

Some parts of this course may have been created or reviewed with the support of artificial intelligence (AI). To make sure you receive accurate, high-quality, and academically sound learning materials, all AI-assisted content is carefully checked and approved by Saylor Academy's faculty and subject matter experts.

Evaluation and Minimum Passing Score

Only the final exam is considered when awarding you a grade for this course. To pass this course, you will need to earn a grade of 70% or higher on the final exam.

Your score on the exam will be calculated as soon as you complete it. Be sure to study in between each attempt! If you do not pass the exam, you will not complete this course or receive a certificate of completion. You can attempt the exam as many times as you want.

There are end-of-unit assessments in this course that are designed to help you study and do not factor into your final course grade. You can take them as many times as you want until you understand the concepts they cover.

You can see all of these assessments at this link.

Continuing Education Credits

The certificate earned by passing this self-paced course displays the program hours you completed and continuing education credits (CEUs). CEUs document successful completion of courses that are designed to improve the knowledge and skills of working adults. Many industries value CEUs, and now your certificate reflects them clearly, and they may be used to support career advancement or to meet professional licensing standards. This course contains 3.6 CEUs.

Tips for Success

CS105: Introduction to Python is a self-paced course, meaning you can decide when to start and complete the course. We estimate the "average" student will take hours to complete. We recommend studying at a comfortable pace and scheduling your study time in advance.

Learning new material can be challenging, so here are a few study strategies to help you succeed:

  • Take notes on terms, practices, and theories. This helps you understand each concept in context and provides a refresher for later study.
  • Test yourself on what you remember and how well you understand the concepts. Reflecting on what you've learned improves long-term memory retention.

Technical Requirements

This course is delivered entirely online. You will need access to a computer or web-capable mobile device and consistent internet access to view or download resources and complete auto-graded assessments and the final exam.

To access the full course, including assessments and the final exam, log into your Saylor Academy account and enroll in the course. If you don't have an account, you can create one for free here. Note that tracking progress and taking assessments require you to log in.

For more details and guidance, please review our complete Technical Requirements and our student Help Center.


Optional Saylor Academy Mobile App

You can access all course features directly from your mobile browser, but if you have limited internet connectivity, the Saylor Academy mobile app provides an option to download course content for offline use. The app is available for iOS and Android devices.

Fees

This course is entirely free to enroll in and access. All course materials, including textbooks, videos, webpages, and activities, are available at no charge. This course also contains a free final exam and a free course completion certificate.

Last modified: Friday, October 3, 2025, 1:32 PM