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13 May 2026 - 13 May 2036
522 weeks, 9:00 AM - 5:00 PM
A beginner-friendly, self-paced course that equips learners with the fundamentals needed to read, write, and reason about Python code with confidence.
13 May 2026 - 13 May 2036
522 weeks, 9:00 AM - 5:00 PM
A self-paced, 2-day equivalent course designed for analysts, data scientists, and engineers who rely on Jupyter Notebooks for real work- not just experimentation.
13 May 2026 - 13 May 2036
522 weeks, 9:00 AM - 5:00 PM
This course builds directly on Intro to Python and introduces students to the essential tools and workflows for applying Python in data science.
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Flexible learning options
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Public courses
Face to face courses which are promoted on your website where anyone can register on them.
Live online
Live and interactive online sessions run over a webinar. Everyone on the session can talk to each other, share their screens, and if they have a webcam, share their video.
In-house private
Courses run for a specific group of people which have been customized to meet their learning outcomes.
Elearning
Self-paced modules that are completed online, at the learner’s own pace.
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View our range of courses
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