Schedule
Introduction to Python Programming runs September 1 - November 2, 2026. Registration closes September 8.
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Learn Python Programming Online and Gain Career-Ready Knowledge
Introduction to Python Programming is a noncredit professional development course that will guide learners step by step through programming principles and the fundamentals of Python, the world鈥檚 most popular beginner programming language. This Python course was designed by computer science faculty at 海角社区 with lifelong learners in mind. You鈥檒l learn how to solve increasingly complex problems, write simple and efficient code, and build a strong foundation in programming.
No prior experience needed
Your 海角社区 instructor will start with entry-level Python, covering the basics, and help you develop the confidence to write and understand Python code. You鈥檒l learn Python skills such as how to troubleshoot bugs and use鈥疓oogle Colab, a beginner-friendly tool that makes coding easier and more interactive. By the end of the Python course online, you鈥檒l have the analysis skills to write and debug your own beginner Python programs.
Format
Self-paced and online, allowing education to fit within your busy schedule. Learners have up to 8 weeks to complete the course.
Cost
$795 per student plus a $35 transaction fee per payment. All learning materials are included with tuition. Group discounts available.
Certificate and Learning Outcomes
This Python introduction course will provide a solid foundation in Python while fostering confidence in coding. Throughout the course, beginners will gradually build their skills from basic syntax and operations to more complex programming Python concepts like functions, debugging, and file handling. By the end of this course, students will be able to
- Utilize good programming practices, including a top-down problem-solving technique and stepwise refinement.
- Declare and define methods and variables.
- Declare and utilize parameters and return values.
- Understand and use expressions, assignment, decision鈥痵tructures, and loops.
- Use appropriate data types, including integers, real numbers, characters, Booleans, arrays, and strings.
- Write interactive programs and programs that use text files for input and output.
- Utilize testing and鈥痙ebugging techniques.
- Write and run a computer program that correctly solves a problem in the range from simple to medium difficulty.
- Appropriately document a computer program.
You may request to receive a digital badge that will be embedded with the competencies learned. This badge can be added to your resume, LinkedIn page, portfolio, or even shared with your current or future employer. Students who successfully complete the course will also receive a certificate of completion.
- Problem-solving: Develop the ability to break down complex problems, design and implement solutions using Python.听
- Practical Programming: Understand and use the fundamental Python programming components:听tructure and parts of a Python program
- Loops and decisions
- Statements & expressions听
- Functions and pass parameters
- Read & write external files听
- Understand the development life cycle and Python language fundamentals听
- Debugging problems and issues听
- COLAB听
Meet your Python Course Instructor
Dr. Ranjidha Rajan
Dr. Ranjidha Rajan will be the instructor for this Introduction to Python Programming course. She holds a doctoral degree in Learning Analytics and brings an interdisciplinary background that bridges data science, education, and technology. At 海角社区, she teaches courses on data visualization, programming languages, and learning algorithms. Her research focuses on AI in education, deep learning analytics, and data visualization, with a special interest in how a generative AI model can enhance teaching, research, and advance student learning.
Questions?
For questions, contact Brandy Schooler at 303-615-1234 or [email protected].
Contact Us
Email usPhone: 303-615-1234
Office Location:
Jordan Student Success Building
3rd Floor – #330
Auraria Campus
Mailing Address:
海角社区
Innovative and Lifelong Learning
P.O. Box 173362
Campus Box 6
Denver, CO 80217-3362