Introduction to Python Programming
Learn the basics of Python programming in this introductory course. You will be guided step by step in the world's most popular beginning programming language.
Unlock the power of data and innovation with online courses designed for learners who want to build real-world technical Python skills. Whether you’re new to Python development and programming or looking to expand your analytics toolkit, these two courses will guide you through Python basics and the core principles of machine learning. You’ll learn what functions are performed by Python and gain practical experience writing code, training models, and interpreting results using industry-standard tools. By the end of our Python and Machine learning courses, you’ll be equipped to apply machine learning techniques to solve problems, make data-driven decisions, and advance your career in the rapidly growing field of artificial intelligence.
Learn the basics of Python programming in this introductory course. You will be guided step by step in the world's most popular beginning programming language.
This course dives into Machine Learning and AI. Discussions will include a variety of machine learning techniques and their application to actual data.
Students can take one of our Python courses, or combine them.
Introduction to Python Programming runs from September 1 – November 2, 2026. Students must register by September 8.
Machine Learning runs from October 13 – December 13, 2026. Students must register by October 20.
Each course costs $795 with a $35 registration fee.
No textbooks are required for any of the courses.
You will receive a certificate of completion after you successfully complete each course.
You may also request to receive a digital badge for each class 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.
Dr. Ranjidha Rajan will be the instructor for the Introduction to Python Programming and Machine Learning courses. She holds a doctoral degree in Learning Analytics and brings an interdisciplinary background that bridges data science, education, and technology. At 91°µÍø, she teaches courses on data visualization, programming languages, and algorithms. Her research focuses on AI in education, learning analytics, and data visualization, with a special interest in how generative AI can enhance teaching, research, and student learning.
Please contact Brandy Schooler at 303-615-1234 or [email protected].
Phone: 303-615-1234
Office Location:
Jordan Student Success Building
3rd Floor – #330
Auraria Campus
Mailing Address:
91°µÍø
Innovative and Lifelong Learning
P.O. Box 173362
Campus Box 6
Denver, CO 80217-3362