Introduction to Python
Python is a popular and versatile programming language that allows you to transform and analyze large datasets. In this course, you will be lead through a comprehensive introduction to Python with a focus on data science applications. You will be introduced to basic syntax, programming, and commonly used packages for data manipulation and exploration. The course is meant to be accessible to beginners new to the language, enabling further study of more advanced topics.
This course consists of:
- Lecture videos
- Lecture companion notebooks that enable you to practice in real-time as you watch videos
- Interactive exercise notebooks for ungraded, self-paced practice
Nick Henderson, Affiliate, Stanford Institute for Computational and Mathematical Engineering (ICME)
- Basic familiarity with computers and productivity software
- Helpful but not required: experience/background in a scientific or engineering discipline
- Basic Syntax: Variables and Data Types
- File Input and Output
- Packages: Numpy, Scipy, Pandas, and Matplotlib
- Jupyter Notebook
$129.00 per online course. Course materials and exercises will be available on-demand for 90 days after the launch of each cohort (every Tuesday).
This course will take approximately 12-15 hours to complete, depending on prior knowledge and experience.
Continuing Education Units
By completing this course, you’ll earn 1 Continuing Education Unit (CEU). CEUs cannot be applied toward any Stanford degree. CEU transferability is subject to the receiving institution’s policies.
Record of Completion
When you complete each course, you’ll receive an email with a link to download your Record of Completion. This email will be sent to the address you provide in your mystanfordconnection within 3 business days of course completion.
Contact us at 650-204-3984
This course will be delivered using a custom version of the Coursera platform. Stanford will launch a new session of the course every Tuesday for those who have registered by 12 pm (Noon) the Monday before. Upon registration for the course, you will receive further instructions on how to access the Coursera session.
90-day access to the online course starts with the launch of your cohort (every Tuesday).
The course is estimated to take 12-15 hours to complete. The course is divided into weekly sections based on recommended pacing and structure from the instructors. However, you are free to move through the material at your own pace.
This course may not currently be available to learners in some states and territories.